BACKGROUND:Precision therapy based on multifunctional nanomaterials is a novel therapeutic model for malignancies that can integrate multiple imaging and therapeutic models into one nanoscale platform to achieve visual combination treatment. OBJECTIVE:To prepare novel nanoparticles loaded with Cu2(OH)PO4 nanoparticles(CuNPs)and nuciferine(NF)(h-PCuNF),and to explore their ability to mediate combined photothermal therapy/photodynamic therapy/chemodynamic therapy/chemotherapy for malignancy. METHODS:The h-PCuNF nanoparticles were synthesized through a double-emulsion procedure,through which the CuNPs and NF were loaded into the shell of hollow poly(lactic-co-glycolic)acid nanocarriers.The morphology,structure,particle size,and zeta potential of the h-PCuNF nanoparticles were characterized.In deionized water,the magnetic resonance imaging and photothermal conversion performances of the h-PCuNF nanoparticles,as well as their capability to implement reactive oxygen species production by mediating photocatalysis and Fenton-like reactions,were evaluated.In liver malignant tumor cell line HepG2 cells,the effectiveness of the photothermal therapy/photodynamic therapy/chemodynamic therapy/chemotherapy combination therapy mediated by the nanoparticles was detected by employing fluorescence imaging and MTT assay. RESULTS AND CONCLUSION:(1)The h-PCuNF nanoparticles possessed a hollow spherical structure in which the CuNPs(drug loading rate and encapsulation rate were 26.3%and 63.2%,respectively)and NF(drug loading rate and encapsulation rate were 11.0%and 52.6%,respectively)were loaded into the shell.The average particle size of the h-PCuNF nanoparticles was(309.2±10.0)nm,while the zeta potential was determined to be(-12.5±0.9)mV.In physiological environments,the nanoparticles possess favorable suspension stability.(2)In deionized water,the h-PCuNF nanoparticles could markedly enhance T1-weighted magnetic resonance imaging images.The h-PCuNF nanoparticles showed remarkable photothermal conversion and photocatalytic reactive oxygen species generation capabilities under near infrared laser irradiation.In addition,the h-PCuNF nanoparticles could consume glutathione and mediate Fenton-like reactions to produce·OH.(3)The h-PCuNF nanoparticles could be taken up by HepG2 tumor cells and were mainly distributed in the cytoplasm.The synergistic therapeutic effect was demonstrated after the nanoparticles were activated by near infrared laser irradiation,because CuNPs mediated photothermal therapy/photodynamic therapy/chemodynamic therapy and NF mediated chemotherapy could synergistically eliminate the tumor cells.

BACKGROUND:Zinc-based alloy medical implant materials have excellent mechanical properties,complete degradability and good biocompatibility,and are mainly used in orthopedic implants,cardiovascular stents,bile duct stents,tracheal stents,nerve catheters,etc. OBJECTIVE:To review the research progress of biodegradable zinc-based alloys in bone defect repair and prospect the promising research direction and achievements of zinc-based materials. METHODS:After searching PubMed,Web of Science,WanFang Data,and CNKI databases from the establishment of the database to June 2023,various relevant articles on biodegradable zinc-based alloys for bone implant material research were collected.The basic characteristics of biodegradable zinc based alloys were summarized,and the role of zinc-based alloys in promoting bone tissue repair was sorted and summarized.The current research hotspots and shortcomings were discussed. RESULTS AND CONCLUSION:(1)Zinc-based alloys have good biocompatibility.Using zinc-based alloys as the matrix material,with the help of scaffold structure construction technology and coating optimization process,the bone conductivity of zinc-based alloys will be effectively improved,and their degradation products will have efficient bone induction to regulate the gene expression of osteoblasts and osteoclasts,thereby promoting the repair and reconstruction of bone defects.(2)However,in the research on optimizing zinc-based alloys,the coating process is relatively insufficient,and additive loading technology is still lacking.(3)Zinc-based alloys have excellent mechanical and biological properties.Through special processes,their bone conductivity and osteoinductivity can be increased to effectively improve their ability to promote bone repair and reconstruction,and it is expected to further achieve the development of personalized transplant materials.Further research and development are needed to optimize the integration of coating and additive loading technologies into zinc-based alloys.

BACKGROUND:LncRNA-TNFRSF13C,an important factor in B cell development and function,is expressed in periodontal tissues of patients with periodontitis,but the specific mechanism is still unclear. OBJECTIVE:To investigate the mechanism of lncRNA-TNFRSF13C regulating miR-1246 on hypoxia-inducible factor 1α in periodontal cells. METHODS:Human periodontal ligament cells(hPDLCs)were treated with lipopolysaccharide and divided into group A(hPDLCs cell lines without transfection),group B(hPDLCs cell lines transfected with TNFRSF13C NC-siRNA),group C(hPDLCs cell lines transfected with TNFRSF13C-siRNA),group D(hPDLCs cell line transfected with miR-1246 mimics),group E(hPDLCs cell line transfected with miR-1246 siRNA),group F(hPDLCs cell line transfected with TNFRSF13C-siRNA+miR-1246 mimics),and group G(hPDLCs cell line transfected with TNFRSF13C-siRNA+miR-1246 siRNA).The relative expression of lncRNA-TNFRSF13C and miR-1246 in each group was detected by qRT-PCR.Cell counting kit-8 assay was used to detect cell viability.Apoptosis was detected by flow cytometry.Expression of hypoxia-inducible factor 1α and vascular endothelial growth factor proteins was detected by western blot.The correlation between lncRNA-TNFRSF13C and miR-1246 was analyzed by Pearson,and the targeting relationship was analyzed by dual-luciferase reporter assay. RESULTS AND CONCLUSION:There was no significant difference in human periodontal ligament cell activity,apoptosis rate and protein indexes between groups A and B(P>0.05).Compared with group B,hPDLCS cell activity in group C was increased,and apoptosis rate and the expression of hypoxia-inducible factor 1α and vascular endothelial growth factor proteins were decreased(P<0.05).Compared with group C,hPDLCS cell activity in group D was decreased,and apoptosis rate and the expression of hypoxia-inducible factor 1α and vascular endothelial growth factor proteins were increased(P<0.05).Compared with group D,the cell activity of group E was increased(P<0.05).The cell activity in group F was lower than that in group E,and the apoptosis rate was reduced in both groups E and F(P<0.05).Compared with group F,the cell activity of group G was increased,and the apoptosis rate and the expression of hypoxia-inducible factor 1α and vascular endothelial growth factor were decreased(P<0.05).LncRNA-TNFRSF13C was positively correlated with miR-1246(P<0.05).Compared with the TNFRSF13C-siRNA group,the fluorescence activity of miR-1246-wt in the TNFRSF13C-NC group was reduced(P>0.05);compared with the miR-1246-NC group,the fluorescence activities of hypoxia-inducible factor 1α-wt and vascular endothelial growth factor-wt in the miR-1246 mimics group were increased(P<0.05).To conclude,down-regulation of lncRNA-TNFRSF13C can promote the activity of periodontal cells treated with lipopolysaccharide,reduce apoptosis,and inhibit hypoxia-inducible factor 1α and vascular endothelial growth factor.The mechanism is related to the regulation of miR-1246 activity.

BACKGROUND:Agomelatine is a clinically proven treatment for neuropsychiatric symptoms,such as anxiety and depression.Furthermore,our previous study has demonstrated that agomelatine ameliorates cognitive behaviors,hippocampal synaptic plasticity,and brain pathology in a mouse model of Alzheimer's disease.However,it remains unclear whether agomelatine can improve anxiety and depression-like behaviors in Alzheimer's disease model mice. OBJECTIVE:To investigate the improving effects of agomelatine on anxiety-and depression-like behaviors in APP/PS1 transgenic mice and its underlying molecular mechanisms. METHODS:(1)Eighteen APP/PS1 transgenic mice were randomly divided into model control group(n=9)and model intervention group(n=9).Another wild-type mice were randomized into control group(n=9)and intervention group(n=9).Model intervention group and intervention group were intraperitoneally injected with 10 mg/kg agomelatine per day for 31 continuous days.Behavioral experiments,including the elevated cross maze and forced swimming tests,and mRNA sequencing of the hippocampus were then performed.(2)Mouse hippocampal neuronal cell lines(HT22)and brain microvascular endothelial cell lines(bEnd.3)were cultured and divided into four groups:blank group without any drug,drug group with 20 μmol/L agomelatine,model group with 10 μmol/L β-amyloid 1-42,and experimental group with 10 μmol/L β-amyloid 1-42+20 μmol/L agomelatine.After 24 hours of incubation,protein expression of S416p-tau and S9p-GSK3β in HT22 cells was detected by immunoblotting,and protein expression of low-density lipoprotein receptor-related protein 1 and glycosylation end-product receptor in bEnd.3 cells was detected by immunoblotting. RESULTS AND CONCLUSION:In the elevated plus maze test,the time spent in the open arms(P＜0.01)and the entries into open arms(P＜0.05)in the mice of model control group were evidently lower than those in the control group,whereas those were obviously increased in the model intervention group compared with the model control group(P＜0.05).Forced swimming test results showed that the immobile time exhibited a marked increase in the model control group compared with the control group(P＜0.05),but it was significantly decreased in the model intervention group compared with the model control group(P＜0.05).Hippocampal tissue mRNA sequencing showed that agomelatine enhanced the expression of low-density lipoprotein receptor-related protein 1 in the hippocampus of APP/PS1 mice.Western blot analysis revealed that the level of S416p-tau in HT22 cells was higher in the model group than the blank group(P＜0.05),while it was markedly decreased in the experimental group compared with the model group(P＜0.05);the level of S9p-GSK3β in HT22 cells was higher in the drug group than the blank group(P＜0.05)as well as higher in the experimental group than the model group(P＜0.05).Moreover,the expression of low-density lipoprotein receptor-related protein 1 in bEnd.3 cells was higher in the experimental group than the model group(P＜0.05).To conclude,agomelatine can alleviate anxiety-and depression-like behaviors in Alzheimer's disease mice by promoting the clearance of β-amyloid and phosphorylated tau.

Objective To reveal the scientific output and trends in pulmonary nodules/early-stage lung cancer prediction models. Methods Publications on predictive models of pulmonary nodules/early lung cancer between January 1, 2002 and June 3, 2023 were retrieved and extracted from CNKI, Wanfang, VIP and Web of Science database. CiteSpace 6.1.R3 and VOSviewer 1.6.18 were used to analyze the hotspots and theme trends. Results A marked increase in the number of publications related to pulmonary nodules/early-stage lung cancer prediction models was observed. A total of 12581 authors from 2711 institutions in 64 countries/regions published 2139 documents in 566 academic journals in English. A total of 282 articles from 1256 authors were published in 176 journals in Chinese. The Chinese and English journals which published the most pulmonary nodules/early-stage lung cancer prediction model-related papers were Journal of Clinical Radiology and Frontiers in Oncology, respectively. Chest was the most frequently cited journal. China and the United States were the leading countries in the field of pulmonary nodules/early-stage lung cancer prediction models. The institutions represented by Fudan University had significant academic influence in the field. Analysis of keywords revealed that multi-omics, nomogram, machine learning and artificial intelligence were the current focus of research. Conclusion Over the last two decades, research on risk-prediction models for pulmonary nodules/early-stage lung cancer has attracted increasing attention. Prognosis, machine learning, artificial intelligence, nomogram, and multi-omics technologies are both current hotspots and future trends in this field. In the future, in-depth explorations using different omics should increase the sensitivity and accuracy of pulmonary nodules/early-stage lung cancer prediction models. More high-quality future studies should be conducted to validate the efficacy and safety of pulmonary nodules/early-stage lung cancer prediction models further and reduce the global burden of lung cancer.

Lung cancer is the leading cause of death worldwide. With the prevalence of CT screening and early diagnosis and treatment of lung cancer in China, more and more patients with early-stage lung cancer characterized with ground-glass opacity are discovered and urgently require treatment, which poses a significant challenge to surgeons. As an emerging technology, three dimensional reconstruction technology plays a crucial auxiliary role in clinical work. This review aims to briefly introduce this technology, focusing on its latest advances in surgical applications in early lung cancer screening, malignant risk assessment, and perioperative period application and medical education.

Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

Objective: To explore the plasma metabonomic characteristics of patients with type 2 diabetes mellitus and turbid toxin accumulation syndrome. Methods: One hundred and three patients with type 2 diabetes mellitus and turbid toxin accumulation syndrome were enrolled from November 2023 to February 2024 in the First Teaching Hospital of Tianjin University of Traditional Chinese Medicine and 54 healthy individuals were recruited. The general data of the two groups were analyzed, and the plasma metabolite content was detected using ultra-high performance liquid chromatography-Orbitrap mass spectrometry. Construct an orthogonal partial least squares discriminant analysis model to screen metabolites with significant intergroup changes. The variable importance in projection≥ 1, |log2FC|>1, and P<0.05 were used as the criteria for the screening of differential metabolites. Annotate differential metabolites using internal databases and the human metabolome database, and perform pathway analysis using MetaboAnalyst website. Results: There was no statistically significant difference in gender and age between the two groups.Seventeen potential differential metabolites were identified. The D-4′-phosphopantothenate, 2, 6-dichloroindophenol, 4-methylphenol, hypoxanthine, 11, 12-epoxyeicosatrienoic acids, oleamide, 3-phenyllactic acid contents were higher in patients with type 2 diabetes mellitus and turbid toxin accumulation syndrome than in healthy individuals(P<0.05); 3-anisic acid, 3-iodo-octadecanoic acid, mebendazole, β-alanine, citric acid, trans-aconitic acid, geranyl diphosphate, lysophosphatidylcholine(18∶2), phosphatidylethanolamine(18∶1), and caprolactam contents were lower in patients with type 2 diabetes mellitus and turbid toxin accumulation syndrome than in healthy individuals(P<0.05). Ten metabolic pathways were identified, including the key metabolic pantothenate and coenzyme A biosynthesis pathways. Conclusion Metabolic differences were observed between patients with type 2 diabetes mellitus and turbid toxin accumulation syndrome and healthy individuals, and the underlying mechanism may involve the pantothenate and coenzyme A biosynthesis pathways, jointly mediated by D-4′-phosphopantothenate and β-alanine.

ObjectiveTo investigate the influencing factors for traditional Chinese medicine （TCM） syndromes of primary liver cancer， and to provide a theoretical basis for the TCM syndrome differentiation and standardized treatment of liver cancer. MethodsTCM syndrome differentiation was performed for 415 patients who were admitted to Shanxi Institute of Traditional Chinese Medicine and were diagnosed with primary liver cancer based on pathological or clinical examinations from January 2019 to December 2023. The chi-square test was used for comparison of categorical data between groups， and the unordered polytomous logistic regression model was used to investigate the influencing factors for TCM syndromes of liver cancer. ResultsThe common initial symptoms of the 415 patients with primary liver cancer included pain in the liver area （31.81%）， abdominal distension （25.30%）， abdominal pain （15.18%）， and weakness （13.98%）， and the main clinical symptoms included poor appetite （70.84%）， fatigue （69.16%）， pain in the liver area （67.47%）， poor sleep （59.04%）， abdominal distension （53.01%）， and constipation （52.53%）. There were significant differences in TCM syndromes between patients with different sexes， courses of the disease， clinical stages， Child-Pugh classes， presence or absence of intrahepatic and extrahepatic metastasis， and presence or absence of transcatheter arterial chemoembolization （TACE） and radiofrequency ablation （all P<0.05）. The logistic regression analysis showed that male sex was a risk factor for damp-heat accumulation （odds ratio ［OR］=2.036， P=0.048） and the syndrome of spleen-kidney Yang deficiency （OR=5.240， P<0.001）； a course of disease of<1 year was a risk factor for damp-heat accumulation （OR=2.837， P=0.004） and syndrome of Qi stagnation and blood stasis （OR=2.317， P=0.021）， but it was a protective factor against syndrome of spleen-kidney Yang deficiency （OR=0.385， P=0.005）； Child-Pugh class A/B was a protective factor against liver-kidney Yin deficiency （OR=0.079， P<0.001）； intrahepatic metastasis was a risk factor for liver-kidney Yin deficiency （OR=5.117， P=0.003） and syndrome of spleen-kidney Yang deficiency （OR=3.303， P=0.010）； TACE was a protective factor against liver-kidney Yin deficiency （OR=0.171， P<0.001） and syndrome of spleen-kidney Yang deficiency （OR=0.138， P<0.001）； radiofrequency ablation was a risk factor for damp-heat accumulation （OR=4.408， P<0.001） and liver-kidney Yin deficiency （OR=32.036， P<0.001）. ConclusionSex， course of disease， Child-Pugh class， intrahepatic metastasis， TACE， and radiofrequency ablation are the main influencing factors for TCM syndromes of liver cancer.

Liver fibrosis is the common pathological process in the progression of various chronic liver diseases to liver cirrhosis， and it greatly affects the prognosis of patients with chronic liver diseases. As a novel adipokine， Chemerin participates in the metabolism of glucose and lipids and inflammation， and various studies have shown that the expression level of Chemerin is correlated with the degree of liver fibrosis， suggesting that Chemerin may be involved in the process of liver fibrosis by regulating metabolism and inflammation. Chemerin has shown certain potential in the auxiliary diagnosis of liver fibrosis and the intervention against the progression of liver fibrosis. This article reviews the potential role and mechanism of action of Chemerin in the process of liver fibrosis， in order to provide new ideas for the diagnosis and treatment of liver fibrosis.