BACKGROUND:Studies have shown that lipid metabolism and related diseases can affect the development of osteoporosis.OBJECTIVE:Using bibliometric visualization analysis software to analyze and summarize the frontier content and research hotspots in the field of lipid metabolism affecting osteoporosis.METHODS:Using the Web of Science core collection database as the retrieval platform,relevant literature regarding the effect of lipid metabolism on osteoporosis from 2004 to 2024 was retrieved.VOSviewer and CiteSpace were used for bibliometric and visual analyses.RESULTS AND CONCLUSION:A total of 1 277 articles were included,and the number of articles on the effect of lipid metabolism on osteoporosis at home and abroad was increasing year by year.The number of articles published in China was 417,ranking first,and the United States was 243,ranking second.Shanghai Jiao Tong University ranked first with 30 articles.Professor Rosen Clifford J from Tufts University School of Medicine and Professor Recker Robert R from Clayton University were the most cited authors.The number of documents published in BONE in the Netherlands ranked first,and the JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM in England was the most cited journal.Bone mineral density,bone metabolism,menopause,and obesity were the core keywords,and they were also research hotspots in this field.The above results show that in the past 20 years,research in the field of lipid metabolism affecting osteoporosis has focused on the role of abnormal lipid metabolism in bone mineral density and bone metabolism,thereby regulating osteoporosis and post-menopause osteoporosis.Clarifying the pathway of this mechanism and"bone-lipid balance"is the future research idea and direction.

BACKGROUND:Studies have shown that lipid metabolism and related diseases can affect the development of osteoporosis.OBJECTIVE:Using bibliometric visualization analysis software to analyze and summarize the frontier content and research hotspots in the field of lipid metabolism affecting osteoporosis.METHODS:Using the Web of Science core collection database as the retrieval platform,relevant literature regarding the effect of lipid metabolism on osteoporosis from 2004 to 2024 was retrieved.VOSviewer and CiteSpace were used for bibliometric and visual analyses.RESULTS AND CONCLUSION:A total of 1 277 articles were included,and the number of articles on the effect of lipid metabolism on osteoporosis at home and abroad was increasing year by year.The number of articles published in China was 417,ranking first,and the United States was 243,ranking second.Shanghai Jiao Tong University ranked first with 30 articles.Professor Rosen Clifford J from Tufts University School of Medicine and Professor Recker Robert R from Clayton University were the most cited authors.The number of documents published in BONE in the Netherlands ranked first,and the JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM in England was the most cited journal.Bone mineral density,bone metabolism,menopause,and obesity were the core keywords,and they were also research hotspots in this field.The above results show that in the past 20 years,research in the field of lipid metabolism affecting osteoporosis has focused on the role of abnormal lipid metabolism in bone mineral density and bone metabolism,thereby regulating osteoporosis and post-menopause osteoporosis.Clarifying the pathway of this mechanism and"bone-lipid balance"is the future research idea and direction.

Radiotherapy is a crucial treatment modality for head and neck tumors. However, while effectively killing tumor cells, it significantly disrupts the homeostasis of the oral microecology, which is closely associated with various complications such as radiation-induced oral mucositis. Literature review indicates that as radiotherapy doses accumulate and treatment durations extend, the richness and diversity of the oral microbiota show a declining trend, with the genus Streptococcus decreasing most markedly. In contrast, radiotherapy selectively promotes the proliferation of bacterial phyla such as Proteobacteria and Bacteroidetes, which are rich in opportunistic pathogens. Mechanistically, radiotherapy activates the nuclear factor-kappa B pathway, triggering chronic inflammation and oxidative stress, damaging the epithelial barrier, suppressing local immunity, and causing damage to organs such as the salivary glands. It can also induce systemic diseases via the oral-gut axis, forming a multi-level, interconnected pathogenic network. In terms of interventions, treatment strategies including probiotics and prebiotics have shown promising efficacy against side effects such as radiation-induced oral mucositis. Saliva-based oral microbiota transplantation is an emerging strategy that is expected to become widely utilized for restoring oral microecological balance. Existing interventions provide preliminary pathways for clinical practice, but this field still faces several key scientific questions. The association between oral microecology and systemic diseases remains largely correlative, lacking causal evidence. Furthermore, critical parameters for oral microbiota transplantation, such as donor screening criteria, transplantation protocols, and long-term safety, are not yet well-defined. Therefore, future research should focus on conducting large-scale clinical trials to establish standardized protocols and safety evaluation systems for oral microecological interventions, and explore combined treatment therapies such as probiotics, prebiotics, and microbiota transplantation to advance the development of personalized precision modulation. These will enable more effective management of radiotherapy-induced oral microecological dysbiosis and improve treatment outcomes and quality of life for patients with head and neck tumors.

OBJECTIVE To investigate the ameliorative effect of Pinelliae Rhizoma Praeparatum Cum Alumine and its effective components on inflammatory response in mice with acute lung injury(ALI).METHODS A mice model of acute lung injury induced by lipopolysaccharide(LPS)was used as the in vivo animal model.The levels of inflammatory factors TNF-α,IL-6,and IL-1β,the total protein concentration,the number of inflammatory cells in bronchoalveolar lavage fluid,the ratio of lung wet weight to dry weight,and the pathological damage of lung tissues were taken as the evaluation indexes.RAW264.7 macrophages induced by LPS were used as the in vitro experimental model,with the mRNA levels of intracellular inflammatory factors TNF-α,IL-1β,and IL-6 as indicators,systematic solvent extraction and silica gel column chromatography were used to separate and screen the effective parts and components of Pinelliae Rhizoma Praeparatum Cum Alumine for treating acute lung injury.The component composition of the effective fractions was analyzed by mass spectrometry,the content of cyclic dipeptide components in the effective fraction was determined,and the anti-in-flammatory activity of cyclic dipeptides was verified in vitro.RESULTS The ethyl acetate extraction fraction obtained by extracting the supernatant of water extraction and ethanol precipitation of Pinelliae Rhizoma Praeparatum Cum Alumine(referred to as the ethyl acetate fraction for short)significantly improved the inflammatory response in mice with acute lung injury and significantly reduced the mRNA levels of TNF-α,IL-1β,and IL-6 in RAW264.7 cells induced by LPS.The Fr.1 fraction isolated from the ethyl acetate frac-tion by silica gel column chromatography had anti-inflammatory effects in vitro.Mass spectrometry determined the content of two main cyclic dipeptide components,cyclo-(Pro-Phe)and cyclo-(Pro-Val),in the Fr.1 fraction.After mixing these two cyclic dipeptide components in the molar ratio in the Fr.1 fraction and administering them in vitro,the results showed that the combination of these two cyclic dipeptide components could significantly inhibit the mRNA expression levels of TNF-α,IL-1β,and IL-6 in RAW264.7 cells induced by LPS.CONCLUSION Cyclic dipeptide component is one of the main material basis categories for the anti-inflammatory effect of Pinelliae Rhizoma Praeparatum Cum Alumine.

Acute myocardial infarction is caused by continuous ischemia and hypoxia of myocardial cells,leading to myocardial cell necrosis.Reperfusion therapy is the standard strategy for reducing infarct size and improving the prognosis of myocardial infarction.However,myocardial injury caused by reperfusion therapy is accompanied by various pathophys-iological processes,such as oxidative stress,inflammatory response,myocardial fibrosis,extracellular matrix remodeling,etc.Transcription factor EB(TFEB)is a central regulatory factor in the autophagy-lysosome signaling pathway,involved in signaling pathways such as stress response,myocardial energy metabolism,autophagy,and lysosomal biogenesis.It is closely related to the repair of myocardial injury after myocardial infarction.This review aims to elucidate the mechanism of TFEB in myocardial ischemic injury.

The purpose of this study was to prepare high affinity monoclonal antibodies(mAbs)a-gainst bovine viral diarrhea virus(BVDV)and establish a double antibody sandwich ELISA detec-tion method.BVDV was purified by differential ultracentrifugation and used to immunize BALB/c mice.Hybridoma cells were prepared by fusing spleen cells from the immunized mice with SP2/0 cells.Positive cells were screened by indirect ELISA.A double-antibody sandwich ELISA method for detecting BVDV was developed using monoclonal antibody 4D11 as the capture antibody and HRP-labeled monoclonal antibody 3F3 as the detection antibody.The results of the ELISA and the determination of the variable region gene sequence of monoclonal antibodies indicated that the two monoclonal antibodies recognize different antigenic epitopes.Specificity tests showed that two monoclonal antibodies specifically recognize BVDV and did not cross-react with other bovine viru-ses associated with diarrhea.Indirect immunofluorescence assay and Western blot assay demonstra-ted that both mAbs exhibited strong reactivity with BVDV.The double antibody sandwich ELISA detection method established in this study had good specificity.The sensitivity test revealed that the method could detect a minimum virus amount of 3.1 × 104 TCID50.The reproducibility test showed that the inter-batch coefficient of variation(Cv)was between 2.47％and 7.44％,and the intra-batch Cv was between 1.71％and 9.89％,indicating good reproducibility.The establishment of this method provides an effective technical tool for the rapid diagnosis and prevention and con-trol of BVDV.

Objective:This study aimed to analyze the prognostic risk factors for hepatoid adenocarcinoma of the stomach (HAS) and construct two nomogram-based clinical prediction models to predict overall survival (OS) and recurrence-free survival (RFS) in patients with HAS.Methods:Data were retrospectively collected from 82 patients (64 males, 18 females; mean age 60.3 ± 9.4 years) who underwent radical gastrectomy and were pathologically diagnosed with gastric hepatoid adenocarcinoma at the First Medical Center of the PLA General Hospital between February 2006 and September 2023. Statistical analyses were conducted using SPSS 25.0 and R 4.3.2. Survival analyses were performed using the Kaplan-Meier method, and univariate analyses were used to identify clinical and pathological factors associated with prognosis. Variables with P<0.05 in the univariate analysis were included in multivariate Cox regression models to identify independent risk factors for OS and RFS. These factors were incorporated into the prediction models to construct nomograms. The discriminatory power of the models was assessed using the area under the curve (AUC) of receiver operating characteristic (ROC) analyses, while calibration curves, decision curve analysis (DCA), and comparisons with the 8th edition of the TNM staging system of the American Joint Committee on Cancer (AJCC) were employed to evaluate model performance. Results:Among the 82 patients, 36 (43.9%) exhibited vascular infiltration, 61 (74.4%) had nerve infiltration, and lymph node metastasis was observed in 60 cases (73.2%). Pathological stages I, II, III, and IV were distributed as 11 (13.4%), 26 (31.7%), 44 (53.7%), and 1 (1.2%) cases, respectively. Inflammatory markers included neutrophil-to-lymphocyte ratio (NLR) ≥ 4.33 in 22 cases (26.8%), platelet-to-lymphocyte ratio (PLR) ≥ 142.2 in 50 cases (61.0%), monocyte-to-lymphocyte ratio (MLR) ≥ 0.411 in 22 cases (26.8%), α-fetoprotein (AFP) ≥ 2.48 μg/L in 64 cases (78.0%), and C-reactive protein (CRP) ≥ 7.506 mg/L in 12 cases (14.6%). Among the 82 patients, 3 cases (3.6%) were lost to follow-up. The median follow-up time was 52 (range: 8–147) months, with a median OS of 61(2–147) months. The 1-year and 3-year OS rates were 78.5% and 58.5%, respectively, while the 1-year and 3-year RFS rates were 77.3% and 60.3%, respectively. Multivariate analysis identified several independent risk factors influencing OS in patients with HAS: advanced pathological stage, MLR ≥ 0.411, AFP ≥ 2.545 μg/L, and CRP ≥ 7.51 mg/L. The hazard ratios (HRs) and 95% confidence intervals (CIs) were as follows: 5.218 (1.230–22.143), 2.610 (1.287–5.294), 2.950 (1.013–8.589), and 2.594 (1.145–5.877), respectively (all P < 0.05). For RFS, advanced pathological stage, PLR ≥ 152.0, and MLR ≥ 0.411 were independent risk factors, with HRs (95% CIs) of 4.735 (1.080–20.760), 3.759 (1.259–11.226), and 2.714 (1.218–6.048), respectively (all P < 0.05). The AUC values for OS prediction at 1 year, 3 years, and 5 years were 0.7765, 0.7525, and 0.7702, respectively. For RFS, the AUC values were 0.7304, 0.8137, and 0.8307 at 1 year, 3 years, and 5 years, respectively. The calibration curves demonstrated strong agreement between nomogram- predicted outcomes and observed survival data. DCA indicated that both TNM staging and the nomogram-based clinical prediction models provided a net positive benefit in predicting OS and RFS in HAS patients, with the nomogram model demonstrating superior performance. Conclusion:The nomogram-based clinical prediction models developed in this study demonstrated robust performance in predicting long-term OS and RFS in patients with HAS.

Objective:In this study, we aimed to investigate the short-term efficacy and safety of perioperative administration of the PD-1 inhibitor tislelizumab combined with the SOX regimen (oxaliplatin plus S-1) in patients with locally advanced gastric cancer, and to identify factors influencing therapeutic outcomes.Methods:In this retrospective cohort study, we analyzed clinical data of 166 patients who had undergone perioperative therapy and D2 radical gastrectomy in the Department of General Surgery, First Medical Center of Chinese PLA General Hospital between September 2021 and September 2023. The cohort comprised 140 men and 26 women, of median age 62 years (range: 30-75). The patients were allocated to two groups: 62 receiving tislelizumab plus SOX (combination therapy group), and 104 SOX alone (chemotherapy-only group). Primary outcomes included pathological complete response rate, treatment-related adverse events, and complications of surgery. Secondary outcomes comprised major pathological response rate, tumor regression grade (Grades 1-2 denoting favorable response, Grade 3 moderate, and Grades 4-5 poor response), R0 resection rate, and short-term survival outcomes (1-year disease-free and overall survivals). Risk factors associated with pCR in the combination group were also analyzed.Results:The combination therapy group exhibited significantly higher rates of pCR (25.8% vs. 8.7%, χ 2=8.93, P=0.003) and Grade 1 tumor regression (25.8% vs. 16.3%, χ 2=15.32, P=0.001) than the chemotherapy-only group. There were no statistically significant differences in major pathological response rates (41.9% vs. 39.4%), R0 resection rates (96.8% vs. 97.1%,), treatment- related adverse events (48.4% vs. 42.3%,), surgical complications (9.7% vs. 12.5%), 1-year disease-free survival (82.3% vs. 78.8%), or 1-year overall survival (93.5% vs. 91.3%), There were no statistically significant differences (all P>0.05). Multivariate logistic analysis identified neural invasion as an independent risk factor for reduced pCR in the combination group (OR=0.10, 95%CI:0.01-0.85, P=0.035). Conclusions:Perioperative tislelizumab combined with SOX chemotherapy improves pathological response rates in patients with locally advanced gastric cancer and has favorable short-term efficacy and safety profiles. Neural invasion may diminish the therapeutic efficacy of immunotherapy.

Objective:To investigate the clinical significance of constructing a nomogram based on a combined model of clinical-pathological-imaging data for predicting postoperative recurrence/metastasis of breast cancer.Meth-ods:A retrospective study was conducted on 194 breast cancer patients who were admitted to the department of breast and thyroid surgery from June 2019 to June 2022.unvariate and multivariate Logistic regression analyses were used to screen independent predictors of postoperative recurrence/metastasis of breast cancer,and a model was con-structed based on the independent predictors.Another 83 breast cancer patients from July 2022 to February 2023 were taken as the validation set to verify the model with the ratio of 7∶3(training set∶validation set).Results:The postopera-tive recurrence/metastasis rate of breast cancer was 29.90％.Ki-67 expression level ≥20％,tumor location in the inner upper quadrant and outer upper quadrant,lesion size ≥20 mm,multiple lesions,and BI-RADS grade of 5 were indepen-dent risk factors for postoperative recurrence/metastasis of breast cancer(P＜0.05).PR positive expression was an inde-pendent protective factor for postoperative recurrence/metastasis of breast cancer(P＜0.05).The diagnostic performance of the combined clinical-pathological-imaging model(AUC:0.900)was superior to that of the clinical-pathological pa-rameters(AUC:0.655)and the MRI parameter model(AUC:0.857).In its nomogram model constructed based on a com-bined clinical-pathological-imaging model to predict breast cancer recurrence/metastasis after surgery,the AUC in the training set was 0.900(95％CI:0.859～0.942)with good discrimination,the maximum Yoden value was 0.710,the sensi-tivity was 0.931,and the specificity was 0.779,and the AUC in the validation set was 0.820(95％C/:0.712～0.928),well differentiated,with a maximum Yoden value of 0.554,a sensitivity of 0.630,and a specificity of 0.914.The theoretical and actual values of the calibration curves of the two sets were in good agreement,and the decision curve indicated the net benefit of the breast cancer recurrence-metastasis prediction model after surgery,which showed good predictive ability.Conclusion:The nomogram constructed based on the combined model of clinical-pathological-imaging data has good predictive ability,accuracy,and clinical applicability,which is helpful for clinicians to evaluate the risk of postoperative re-currence/metastasis of breast cancer.

Atherosclerosis(AS)is the major pathologic basis of cardiovascular disease,and its complications,such as myocardial infarction and stroke,are primarily triggered by rupture of atherosclerotic vulnerable plaques(VASPs).Conventional imaging techniques rely on anatomical changes,making it difficult to assess plaque vulnerability at an early stage.In recent years,molecular imaging combined with nanoprobe technology has enabled precise visualization at the cellular and molecular levels by targeting pathological features of plaques(e.g.,lipid core,inflammation,thin fibrous cap,etc.).This article reviews the pathological features of VASPs,the limitations of existing imaging techniques,and the design principles and application progress of molecular imaging probes and discusses the challenges and future directions for their clinical translation.