Organoid-on-a-chip technology represents a promising interdisciplinary advancement that merges two cutting-edge biomedical platforms: stem cell-derived organoids and microfluidics-based organ-on-a-chip systems. Organoids are self-organizing three-dimensional (3D) cell cultures that mimic the key structural and functional features of in vivo organs. However, traditional organoid culture systems are often static, lacking dynamic environmental cues and suffering from limitations such as batch-to-batch variability, low stability, and low throughput. Organ-on-a-chip platforms, by contrast, utilize microfluidic technologies to simulate the dynamic physiological microenvironment of human tissues and organs, enabling more controlled cell growth and differentiation. By integrating the advantages of organoids and organ-on-a-chip technologies, organoid-on-a-chip systems transcend the limitations of conventional 3D culture models, offering a more physiologically relevant and controllable in vitro platform. In organoid-on-a-chip systems, stem cells or pre-formed organoids are cultured in micro-engineered environments that mimic in vivo conditions, enabling precise control over fluid flow, mechanical forces, and biochemical cues. Specifically, these platforms employ advanced strategies including bio-inspired 3D scaffolds for structural support, precise spatial cell patterning via 3D bioprinting, and integrated biosensors for real-time monitoring of metabolic activities. These synergistic elements recreate complex extracellular matrix signals and ensure high structural fidelity. Based on structural complexity, organoid-on-a-chip systems are classified into single-organoid and multi-organoid types, forming a trajectory from unit biomimicry to systemic simulation. Single-organoid chips focus on highly biomimetic units by integrating vascular, immune, or neural functions. Multi-organoid chips simulate inter-organ crosstalk and systemic homeostasis, advancing complex disease modeling and PK/PD evaluation. This emerging technology has demonstrated broad application potential in multiple fields of biomedicine. Organoid-on-a-chip systems can recapitulate organ developmentin vitro, facilitating research in developmental biology. They mimic organ-specific physiological activities and mechanisms, showing promising applications in regenerative medicine for tissue repair or replacement. In disease modeling, they support the reconstruction of models for neurodegenerative, inflammatory, infectious, metabolic diseases, and cancers. These platforms also enable in vitro drug testing and pharmacokinetic studies (ADME). Patient-derived chips preserve genetic and pathological features, offering potential for precision medicine. Additionally, they reduce species differences in toxicology, providing human-relevant data for environmental, food, cosmetic, and drug safety assessments. Despite progress, organoid-on-a-chip systems face challenges in dynamic simulation, extracellular matrix (ECM) variability, and limited real-time 3D imaging, requiring improved materials and the integration of developmental signals. Current bottlenecks also include the high technical threshold for automation and the lack of standardized validation frameworks for regulatory adoption. Meanwhile, the concept of a “human-on-a-chip” has been proposed to mimic whole-body physiology by integrating multiple organoid modules. This approach enables systemic modeling of drug responses and toxicity, with the potential to reduce animal testing and revolutionize drug development. Future advancements in bio-responsive hydrogels and flexible biosensors will further empower these platforms to bridge the gap between bench-side research and personalized clinical interventions. In conclusion, organoid-on-a-chip technology offers a transformative in vitro model that closely recapitulates the complexity of human tissues and organ systems. It provides an unprecedented platform for advancing biomedical research, clinical translation, and pharmaceutical innovation. Continued development in biomaterials, microengineering, and analytical technologies will be essential to unlocking the full potential of this powerful tool.

Organoid-on-a-chip technology represents a promising interdisciplinary advancement that merges two cutting-edge biomedical platforms: stem cell-derived organoids and microfluidics-based organ-on-a-chip systems. Organoids are self-organizing three-dimensional (3D) cell cultures that mimic the key structural and functional features of in vivo organs. However, traditional organoid culture systems are often static, lacking dynamic environmental cues and suffering from limitations such as batch-to-batch variability, low stability, and low throughput. Organ-on-a-chip platforms, by contrast, utilize microfluidic technologies to simulate the dynamic physiological microenvironment of human tissues and organs, enabling more controlled cell growth and differentiation. By integrating the advantages of organoids and organ-on-a-chip technologies, organoid-on-a-chip systems transcend the limitations of conventional 3D culture models, offering a more physiologically relevant and controllable in vitro platform. In organoid-on-a-chip systems, stem cells or pre-formed organoids are cultured in micro-engineered environments that mimic in vivo conditions, enabling precise control over fluid flow, mechanical forces, and biochemical cues. Specifically, these platforms employ advanced strategies including bio-inspired 3D scaffolds for structural support, precise spatial cell patterning via 3D bioprinting, and integrated biosensors for real-time monitoring of metabolic activities. These synergistic elements recreate complex extracellular matrix signals and ensure high structural fidelity. Based on structural complexity, organoid-on-a-chip systems are classified into single-organoid and multi-organoid types, forming a trajectory from unit biomimicry to systemic simulation. Single-organoid chips focus on highly biomimetic units by integrating vascular, immune, or neural functions. Multi-organoid chips simulate inter-organ crosstalk and systemic homeostasis, advancing complex disease modeling and PK/PD evaluation. This emerging technology has demonstrated broad application potential in multiple fields of biomedicine. Organoid-on-a-chip systems can recapitulate organ developmentin vitro, facilitating research in developmental biology. They mimic organ-specific physiological activities and mechanisms, showing promising applications in regenerative medicine for tissue repair or replacement. In disease modeling, they support the reconstruction of models for neurodegenerative, inflammatory, infectious, metabolic diseases, and cancers. These platforms also enable in vitro drug testing and pharmacokinetic studies (ADME). Patient-derived chips preserve genetic and pathological features, offering potential for precision medicine. Additionally, they reduce species differences in toxicology, providing human-relevant data for environmental, food, cosmetic, and drug safety assessments. Despite progress, organoid-on-a-chip systems face challenges in dynamic simulation, extracellular matrix (ECM) variability, and limited real-time 3D imaging, requiring improved materials and the integration of developmental signals. Current bottlenecks also include the high technical threshold for automation and the lack of standardized validation frameworks for regulatory adoption. Meanwhile, the concept of a “human-on-a-chip” has been proposed to mimic whole-body physiology by integrating multiple organoid modules. This approach enables systemic modeling of drug responses and toxicity, with the potential to reduce animal testing and revolutionize drug development. Future advancements in bio-responsive hydrogels and flexible biosensors will further empower these platforms to bridge the gap between bench-side research and personalized clinical interventions. In conclusion, organoid-on-a-chip technology offers a transformative in vitro model that closely recapitulates the complexity of human tissues and organ systems. It provides an unprecedented platform for advancing biomedical research, clinical translation, and pharmaceutical innovation. Continued development in biomaterials, microengineering, and analytical technologies will be essential to unlocking the full potential of this powerful tool.

OBJECTIVE To summarize the clinical features and treatment methods of subglottic cysts in infants.METHODS A single-center retrospective study was conducted,enrolling twelve pediatric patients with subglottic cysts who were treated at Beijing Children's Hospital,Affiliated to Capital Medical University,between December 2016 and October 2024.Clinical data were collected and analyzed,including patient age,body weight,perinatal history,presenting symptoms,findings from flexible laryngoscopy and imaging studies,as well as surgical treatment modalities.RESULTS Among the 12 patients,8 were male and 4 were female,with a median age of 7 months.Preterm infants accounted for 83.3%(10/12),low birth weight was observed in 58.3%(7/12),and 75%(9/12)had a history of tracheal intubation.The primary clinical manifestations included stridor,respiratory distress,and feeding difficulties.All patients were diagnosed by laryngoscopy and imaging studies,which confirmed the presence of subglottic cysts.Among these,9 were located on the right side and 3 on the left.All patients underwent subglottic cyst excision under general anesthesia using suspension laryngoscopy combined with endoscopy.Among them,two cases experienced recurrence and required a second surgical procedure three months postoperatively.Histopathological examination revealed a cyst wall lined by stratified squamous epithelium and pseudostratified ciliated columnar epithelium.All patients were followed up for a period ranging from 6 months to 6 years,with no recurrence observed during this time.CONCLUSION Infants presenting with stridor and dyspnea should undergo prompt laryngoscopy for definitive diagnosis.Subglottic cysts should be highly suspected in preterm,low-birth-weight infants with a history of intubation who develop stridor or respiratory distress during development.Once diagnosed,surgical intervention should be performed promptly to avoid the need for a tracheostomy.Surgical excision under general anesthesia using suspension laryngoscopy combined with endoscopy is an effective treatment for subglottic cysts.

Objective To construct a competency evaluation model for forensic practitioners,providing a reference for their training and assessment.Methods Based on the iceberg and onion models of com-petency,and with reference to Spencer's Competency Dictionary,literature research was conducted and focus group interviews were employed to preliminarily construct core indices and measurement items for evaluating the competency of forensic practitioners.The Delphi method was applied for two rounds of expert consultation to further refine the competency evaluation index system.The analytic hierarchy process(AHP)was used to calculate the weights of the indices.Results A competency evaluation model for forensic practitioners was constructed,consisting of 7 core indices,encompassing forensic skills,identification service capabilities,and the ability to apply relevant legal knowledge and 49 mea-surement items.The weights of the core indices and measurement items were determined.Conclusion The constructed competency evaluation model for forensic practitioners is scientifically sound and inno-vative,and has unique characteristics of forensic medicine compared with other medical models.

Objective:To investigate the effect of human epidermal growth factor receptor 2 (HER2) on bladder cancer by regulating phosphoinositide 3-kinase (PI3K)-protein kinase B (Akt) signaling pathway via tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein epsilon peptide (YWHAE) and to examine its mechanism.Methods:The gene expression profiling interactive analysis (GEPIA) database was used to analyze HER2 expression in 408 bladder cancer tissues and 19 adjacent normal tissues. HER2 expression was then compared between 215 tumor protein 53 ( TP53) mutant and 193 TP53 non-mutant bladder cancer tissues. Tissue samples were obtained from patients who underwent surgical resection for bladder cancer in Tianjin Medical University General Hospital between June 2010 and March 2015. Immunohistochemistry and Western blotting were performed to validate HER2 and p53 protein expression, as well as analyze their correlation. Bladder cancer T24 cells were transfected with short hairpin RNA targeting HER2 (shHER2) control (shCon) or shHER2, designated as shCon and shHER2 groups. Bladder cancer UMUC3 cells were transfected with overexpression control (oeCon), HER2 overexpression (oeHER2), oeYWHAE, or short hairpin RNA targeting murine double minute 2 (MDM2) (shMDM2), and were designated as the oeCon, oeHER2, oeYWHAE and shMDM2 groups, respectively. UMUC3 cells were then treated with either 0.1% dimethyl sulfoxide or 100 mmol/L dihydrotestosterone and designated as the solvent control and dihydrotestosterone groups, respectively. Additionally, oeCon and oeYWHAE UMUC3 cells were treated with the PI3K inhibitor LY294002 (25 μmol/L), designated as the LY294002 and LY294002+oeYWHAE groups. On this basis, shHER2 was transfected into the oeCon and oeYWHAE groups, which were then designated as the shHER2-2 and shHER2-2+oeYWHAE groups. The relative expression levels of HER2, YWHAE mRNA, and HER2, p53, YWHAE, MDM2, phosphorylated Akt (p-Akt), and Akt proteins were determined using quantitative reverse transcription PCR and Western blotting. Cell Counting Kit-8, Transwell, and wound-healing assays were performed to evaluate the impact of HER2 on the proliferation, invasion, and migration of bladder cancer cells. Mass spectrometry and co-immunoprecipitation assays were performed to confirm the interaction between YWHAE and HER2, and immunofluorescence was used to detect p53 expression. BALB/c nude mice were subcutaneously injected with 5×10 6 UMUC3 cells in the scapular region. According to the random number table method, they were divided into negative the control group and the transfection group, with 3 mice in each group, and transfected with oeCon and oeHER2, respectively. Tumor volume and weight were measured and calculated, and HER2 and p53 protein expression in bladder cancer tissues was validated by immunohistochemistry and Western blotting. Independent sample t test or Mann-Whitney U test was used to compare the two groups. One-way analysis of variance or Kruskal-Wallis test was used for comparison of multiple groups. Results:GEPIA database analysis demonstrated significantly higher levels of HER2 expression in bladder cancer tissues and in TP53 mutant bladder cancers compared with adjacent normal tissues (both P<0.01). HER2 expression was inversely correlated with p53 expression ( r=?0.6). Immunohistochemistry and Western blotting confirmed that p53 expression level in the bladder cancer tissues (5.32±0.11) was higher than that in the adjacent normal tissues (2.00±0.01), while HER2 expression level in the bladder cancer tissues (1.13±0.02) was lower than that in the adjacent normal tissues (6.20±0.06) (both P<0.01). HER2 mRNA and protein expression, absorbance at 450 nm wavelength ( A450) values, and cell invasion number and cell migration distance in the shHER2 group were all lower than those in the shCon group [0.25±0.01 vs 1.00±0.05, 1.00± 0.01 vs 3.26±0.09, 1.36±0.04 vs 1.65±0.06, (107.00±5.51) vs (202.70±11.61) cells, and (298.70±6.94) vs (454.30±7.84) μm] ( P<0.05, 0.01). HER2 mRNA and protein expression, absorbance ( A450) values, and cell invasion number and cell migration distance in the oeHER2 group were all higher than those in the oeCon group [0.78±0.02 vs 0.46±0.01, 2.05±0.02 vs 1.00±0.00, 1.23±0.06 vs 0.78±0.03, (136.30±5.24) vs (59.00±5.51) cells, and (153.70±7.27) vs (66.33±33.84) μm] ( P<0.05, 0.01). HER2 protein expression level in the dihydrotestosterone group was higher than that in the solvent control (1.83±0.19 vs 1.00±0.00), while p53 protein expression level in the dihydrotestosterone group was lower than that in the solvent control group (1.10±0.10 vs 1.53±0.15) (both P<0.01). The differentially expressed protein between the dihydrotestosterone group and solvent control group was YWHAE. The expression levels of YWHAE mRNA and protein in the dihydrotestosterone group (1.10±0.12 and 3.05±0.03) were higher than those in the solvent control group (0.30±0.12 and 1.00±0.00) (both P<0.01). YWHAE protein expression level in the oeHER2 group was higher than that in the oeCon group (1.37±0.08 vs 1.00±0.00) ( P<0.01) and YWHAE expression level in the bladder cancer tissues was higher than that in the adjacent normal tissues ( P<0.01). YWHAE expression positively correlated with HER2 expression ( r=0.4). Co-immunoprecipitation confirmed direct binding between HER2 and YWHAE. Overexpression of YWHAE significantly reduced p53 expression. The relative expression level of MDM2 protein in the oeYWHAE group (2.73±0.09) was lower than that in the oeCon group (3.43±0.12) ( P<0.01). The relative expression level of MDM2 protein in the shMDM2 group (1.00±0.00) was lower than that in the oeYWHAE group, and the relative expression level of p53 protein (2.00±0.00) was higher than that in the oeYWHAE group (1.07±0.07) (both P<0.01). The relative expression levels of YWHAE and p-Akt protein in the oeYWHAE group (1.23±0.09, 3.00±0.06) were higher than those in the oeCon group (1.00±0.00, 1.13±0.03) ( P<0.05, 0.01). The relative expression level of p-Akt protein in LY294002 group (2.20±0.06) was lower than that in the oeCon group (3.30±0.10), and the relative expression level of p53 protein (2.10±0.06) was higher than that in the oeCon group (1.00±0.00) (both P<0.01). The relative expression level of p-Akt protein in LY294002+oeYWHAE group (2.00±0.06) was lower than that in the oeYWHAE group (3.53±0.14), and the relative expression level of p53 protein (2.10±0.06) was higher than that in the oeYWHAE group (1.00±0.06) (both P<0.01). The relative expression levels levels of YWHAE, p-Akt and MDM2 protein in the shHER2-2 group (1.60±0.15, 1.70±0.06, 0.80±0.06) were lower than those in the oeCon group (2.30±0.06, 2.30±0.06, 1.13±0.09), and the relative expression level of p53 protein (1.83±0.12) was higher than that in the oeCon group (1.00±0.00) ( P<0.05, 0.01). The relative expression level of YWHAE protein in the shHER2-2+oeYWHAE group (2.00±0.06) was lower than that in the oeCon group ( P<0.01), and the relative expression levels of MDM2 and p53 protein (2.63±0.15, 1.13±0.03) were higher than those in the oeCon group ( P<0.05, 0.01). The tumor volume, tumor weight, and relative expression levels of HER2, YWHAE, p-Akt, and MDM2 proteins on day 28 in the transfection group [(5 133.0±185.6) mm 3, (0.65±0.12) g, 2.23±0.02, 4.00±0.12, 3.33±0.06 and 2.24±0.02] were higher than those in the negative control group [(2 633.0±88.2) mm 3, (0.33±0.07) g, 0.98±0.02, 1.27±0.03, 1.29±0.02 and 1.46±0.06] (all P<0.01). The relative expression level of p53 protein (1.21±0.04) was lower than that in the negative control group (3.29±0.04) ( P<0.01). Conclusions:HER2 may promote the malignant progression of bladder cancer by regulating the PI3K-Akt pathway via YWHAE, thereby facilitating MDM2 nuclear translocation and p53 degradation. This ultimately enhances the proliferative, migratory, and invasive capacities of bladder cancer cells.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Objective To describe the significance of the pretreatment inflammatory indicators in predicting the prognosis of patients with esophageal squamous cell carcinoma (ESCC) after undergoing radical radiotherapy. Methods The data of 246 ESCC patients who underwent radical radiotherapy were retrospectively collected. Receiver operating characteristic (ROC) curves were drawn to determine the optimal cutoff values for platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), and systemic immune-inflammation index (SII). The Kaplan-Meier method was used for survival analysis. We conducted univariate and multivariate analyses by using the Cox proportional risk regression model. Software R (version 4.2.0) was used to create the nomogram of prognostic factors. Results The results of the ROC curve analysis showed that the optimal cutoff values of PLR, NLR, and SII were 146.06, 2.67, and 493.97, respectively. The overall response rates were 77.6% and 64.5% in the low and high NLR groups, respectively (P<0.05). The results of the Kaplan-Meier survival analysis revealed that the prognosis of patients in the low PLR, NLR, and SII group was better than that of patients in the high PLR, NLR, and SII group (all P<0.05). The results of the multivariate Cox regression analysis showed that gender, treatment modalities, T stage, and NLR were independent factors affecting the overall survival (OS). In addition, T stage and NLR were independent factors affecting the progression-free survival (PFS) (all P<0.05). The nomogram models of OS and PFS prediction were established based on multivariate analysis. The C-index values were 0.703 and 0.668. The calibration curves showed excellent consistency between the predicted and observed OS and PFS. Conclusion The pretreatment values of PLR, NLR, and SII are correlated with the prognosis of patients with ESCC who underwent radical radiotherapy. Moreover, NLR is an independent factor affecting the OS and PFS of ESCC patients. The NLR-based nomogram model has a good predictive ability.

The study was conducted to investigate the mechanism of Xinyang Tablets( XYP) in modulating the fat mass and obesity-associated protein(FTO)/N6-methyladenosine(m6A) signaling pathway to ameliorate ventricular remodeling in heart failure(HF). A mouse model of HF was established by transverse aortic constriction(TAC). Mice were randomized into sham, model, XYP(low, medium, and high doses), and positive control( perindopril) groups(n= 10). From day 3 post-surgery, mice were administrated with corresponding drugs by gavage for 6 consecutive weeks. Following the treatment, echocardiography was employed to evaluate the cardiac function, and RT-qPCR was employed to determine the relative m RNA levels of key markers, including atrial natriuretic peptide( ANP), B-type natriuretic peptide( BNP), β-myosin heavy chain(β-MHC), collagen type I alpha chain(Col1α), collagen type Ⅲ alpha chain(Col3α), alpha smooth muscle actin(α-SMA), and FTO. The cardiac tissue was stained with Masson's trichrome and wheat germ agglutinin(WGA) to reveal the pathological changes. Immunohistochemistry was employed to detect the expression levels of Col1α, Col3α, α-SMA, and FTO in the myocardial tissue. The m6A modification level in the myocardial tissue was measured by the m6A assay kit. An H9c2 cell model of cardiomyocyte injury was induced by angiotensin Ⅱ(AngⅡ), and small interfering RNA(siRNA) was employed to knock down FTO expression. RT-qPCR was conducted to assess the relative m RNA levels of FTO and other genes associated with cardiac remodeling. The m6A modification level was measured by the m6A assay kit, and Western blot was employed to determine the phosphorylated phosphatidylinositol 3-kinase(p-PI3K)/phosphatidylinositol 3-kinase(PI3K) and phosphorylated serine/threonine kinase(p-Akt)/serine/threonine kinase(Akt) ratios in cardiomyocytes. The results of animal experiments showed that the XYP treatment significantly improved the cardiac function, reduced fibrosis, up-regulated the m RNA and protein levels of FTO, and lowered the m6A modification level compared with the model group. The results of cell experiments showed that the XYP-containing serum markedly up-regulated the m RNA level of FTO while decreasing the m6A modification level and the p-PI3K/PI3K and p-Akt/Akt ratios in cardiomyocytes. Furthermore, FTO knockdown reversed the protective effects of XYP-containing serum on Ang Ⅱ-induced cardiomyocyte hypertrophy. In conclusion, XYP may ameliorate ventricular remodeling by regulating the FTO/m6A axis, thereby inhibiting the activation of the PI3K/Akt signaling pathway.
Animals ; Ventricular Remodeling/drug effects* ; Heart Failure/physiopathology* ; Signal Transduction/drug effects* ; Mice ; Male ; Alpha-Ketoglutarate-Dependent Dioxygenase FTO/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Mice, Inbred C57BL ; Humans ; Adenosine/analogs & derivatives* ; Myocytes, Cardiac/metabolism* ; Disease Models, Animal

Cervi Cornu Pantotrichum is a precious animal-derived Chinese medicinal material, while there are often adulterants derived from animals not specified in the Chinese Pharmacopeia in the market, which disturbs the safety of medication. This study was conducted with the aim of strengthening the quality control of Cervi Cornu Pantotrichum and standardizing the medication. To achieve digital identification of Cervi Cornu Pantotrichum from different sources, a digital identification model was constructed based on ultra-high performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry(UHPLC-QTOF-MS~E) combined with an adaptive boosting algorithm(Adaboost). The young furred antlers of sika deer, red deer, elk, and reindeer were processed and then subjected to polypeptide analysis by UHPLC-QTOF-MS~E. Then, the mass spectral data reflecting the polypeptide information were obtained by digital quantification. Next, the key data were obtained by feature screening based on Gini index, and the digital identification model was constructed by Adaboost. The model was evaluated based on the recall rate, F_1 composite score, and accuracy. Finally, the results of identification based on the constructed digital identification model were validated. The results showed that when the Gini index was used to screen the data of top 100 characteristic polypeptides, the digital identification model based on Adaboost had the best performance, with the recall rate, F_1 composite score, and accuracy not less than 0.953. The validation analysis showed that the accuracy of the identification of the 10 batches of samples was as high as 100.0%. Therefore, based on UHPLC-QTOF-MS~E and Adaboost algorithm, the digital identification of Cervi Cornu Pantotrichum can be realized efficiently and accurately, which can provide reference for the quality control and original animal identification of Cervi Cornu Pantotrichum.
Animals ; Algorithms ; Antlers/chemistry* ; Boosting Machine Learning Algorithms ; Chromatography, High Pressure Liquid/methods* ; Deer ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Quality Control ; Reindeer ; Tandem Mass Spectrometry/methods* ; Tissue Extracts/analysis*

This study investigates the effect and underlying mechanism of Guizhi Tongluo Tablets(GZTL) in treating atherosclerosis(AS) in a mouse model. Apolipoprotein E-knockout(ApoE~(-/-)) mice were randomly assigned to the following groups: model, high-, medium-, and low-dose GZTL, and atorvastatin(ATV), and age-matched C57BL/6J mice were selected as the control group. ApoE~(-/-) mice in other groups except the control group were fed with a high-fat diet for the modeling of AS and administrated with corresponding drugs via gavage for 8 weeks. General conditions, signs of blood stasis, and body mass of mice were monitored. Aortic plaques and their stability were assessed by hematoxylin-eosin, Masson, and oil red O staining. Serum levels of total cholesterol(TC), triglycerides(TG), and low-density lipoprotein cholesterol(LDL-C) were measured by biochemical assays, and those of interleukin-1β(IL-1β), tumor necrosis factor-α(TNF-α), and interleukin-6(IL-6) were determined via enzyme-linked immunosorbent assay. Apoptosis was assessed by terminal deoxynucleotidyl transferase dUTP nick end labeling(TUNEL). Single-cell RNA sequencing(scRNA-seq) was employed to analyze the differential expression of CD72hi macrophages(CD72hi-Mφ) in the aortas of AS patients and mice. The immunofluorescence assay was employed to visualize CD72hi-Mφ expression in mouse aortic plaques, and real-time fluorescence quantitative PCR was utilized to determine the mRNA levels of IL-1β, TNF-α, and IL-6 in the aorta. The results demonstrated that compared with the control group, the model group exhibited significant increases in body mass, aortic plaque area proportion, necrotic core area proportion, and lipid deposition, a notable decrease in collagen fiber content, and an increase in apoptosis. Additionally, the model group showcased elevated serum levels of TC, TG, LDL-C, IL-1β, TNF-α, and IL-6, alongside marked upregulations in the mRNA levels of IL-1β, TNF-α, and IL-6 in the aorta. In comparison with the model group, the GZTL groups and the ATV group showed a reduction in body mass, and the medium-and high-dose GZTL groups and the ATV group demonstrated reductions in aortic plaque area proportion, necrotic core area proportion, and lipid deposition, an increase in collagen fiber content, and a decrease in apoptosis. Furthermore, the treatment goups showcased lowered serum levels of TC, TG, LDL-C, IL-1β, TNF-α, and IL-6. The data of scRNA-seq revealed significantly elevated CD72hi-Mφ signaling in carotid plaques of AS patients compared with that in the normal arterial tissue. Animal experiments confirmed that CD72hi-Mφ expression, along with several pro-inflammatory cytokines, was significantly upregulated in the aortas of AS mice, which were downregulated by GZTL treatment. In conclusion, GZTL may alleviate AS by inhibiting CD72hi-Mφ activity.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Atherosclerosis/immunology* ; Mice ; Mice, Inbred C57BL ; Macrophages/immunology* ; Male ; Humans ; Apolipoproteins E/genetics* ; Tablets ; Tumor Necrosis Factor-alpha/genetics* ; Apoptosis/drug effects* ; Interleukin-1beta/genetics* ; Interleukin-6/genetics* ; Disease Models, Animal ; Mice, Knockout