Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

A QuEChERS cleanup-ultra performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)method was established for simultaneous determination of traditional and emerging 71 kinds of per-and polyfluoroalkyl substances(PFAS)in Chinese herbal medicine Eckloniae Thallus.The extraction solvent employed here was 0.2%formic acid-acetonitrile with sodium chloride-anhydrous sodium sulfate(3:1,m/m)as salting-out agent,and the purification was carried out using graphitized carbon black and octadecyl-bonded silica as adsorbents.The sample separation was carried out on a Horizon C18 chromatographic column(150 mm×2.1 mm,1.6 μm)by gradient elution with 2.5 mmol/L ammonium acetate aqueous solution(containing 2.5 mmol/L acetic acid)and acetonitrile as the mobile phases.The flow rate was set at 0.4 mL/min,with an injection volume of 5 μL.The chromatographic separation of each target compound and internal standard substance could be achieved within 15 min.An electrospray ion source was utilized for simultaneous scanning of positive and negative ions under the scheduled multiple reaction monitoring(sMRM)mode,and the internal standard method was used for quantitative analysis.The results of method validations showed that the 71 kinds of PFAS had good linearity,with a correlation coefficient(r)greater than 0.997,spiked recoveries of 76.2%?122.0%and relative standard deviations(RSDs)of 5.5%?14.8%.The limits of detection were in the range of 0.3-60 ng/kg and the limits of quantification were in the range of 0.8-199 ng/kg.The developed method was used for detection of PFAS in 14 batches of Eckloniae Thallus samples,and a total of 19 kinds of PFAS were detected.The findings indicated that PFAS residues were commonly present in Eckloniae Thallus,with perfluorocarboxylic acids(PFCAs)exhibiting the highest concentrations.The method was simple,robust and efficient in preparation,sensitive in detection with high throughput,and suitable for monitoring residual PFAS compounds,including both ionic and neutral in food-medicine homology samples such as Eckloniae Thallus.

Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg^-1) and a high dose (15 mg·kg^-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D₃03)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.

Background and Aims:Body mass index(BMI),an important indicator of nutrition and health,is closely associated with postoperative complications.This study was performed to investigate the relationship between preoperative BMI and severe complications in patients undergoing liver resection for hepatolithiasis,aiming to provide preoperative guidance for clinicians,reduce the risk of postoperative complications,and ensure surgical safety and efficacy.Methods:The clinical data of 484 patients with hepatolithiasis who underwent liver resection between May 2006 and December 2022 at the First Affiliated Hospital of Army Medical University and Beijing Tsinghua Changgung Hospital were retrospectively collected.Patients were classified into low BMI group(≤18.4 kg/m2),normal BMI group(18.5-24.9 kg/m2),and high BMI group(≥25.0 kg/m2)based on preoperative BMI.Baseline characteristics,overall complications,severe complications,and other postoperative outcomes were compared between the normal BMI group and the low group as well as the high BMI group.Risk factors for severe complications after liver resection were analyzed.Results:Among the 484 patients,79(16.3％)were in the low BMI group,328(67.8％)in the normal BMI group,and 77(15.9％)in the high BMI group.The high BMI group had significantly higher ASA score,preoperative albumin level,and proportion of hypertension compared to the normal BMI group(all P＜0.05).Baseline characteristics in the low BMI group showed no significant differences compared to the normal BMI group(all P＞0.05).The incidence rates of overall complications were not significantly among the three groups(P＞0.05).However,the high BMI group had significantly higher incidence rates of severe complications(Clavien-Dindo grade Ⅲ-Ⅳ),postoperative infections,liver failure,and bile leakage compared to the normal BMI group;the low BMI group had significantly higher rates of perioperative blood transfusion,postoperative infections,liver failure,and reoperation compared to the normal BMI group(all P＜0.05).Univariate and multivariate Logistic regression analyses identified high BMI and preoperative total bilirubin ≥54 pmol/L as independent risk factors for severe complications after liver resection in patients with hepatolithiasis(both P＜0.05).Conclusion:Preoperative BMI is closely associated with the occurrence of complications after liver resection in patients with hepatolithiasis,with high BMI being an independent risk factor for severe complications.To mitigate the risk of severe complications,clinical practice should prioritize monitoring and management of individuals with high BMI and other risk factors

Aim To investigate the effect of ACSL4 on the malignant biological behavior of esophageal cancer cells and gefitinib resistance by regulating FASN,and to explore the related mechanism.Methods Thirty-five fresh esophageal cancer tissues and adjacent nor-mal tissues,and 30 esophageal cancer tissues with ge-fitinib resistance were collected.The expressions of ACSL4 and FASN were detected by qRT-PCR and im-munohistochemistry.The expression levels of ACSL4 and FASN in human normal esophageal cells HET-1 A,esophageal cancer cell lines ECA109,EC9706,TE-1 and TE-1/GR were detected by qRT-PCR.Cells in each group were constructed by liposome transfection technique,and the drug resistance and proliferation a-bility of cells were detected by cloning and CCK-8 as-say,cell apoptosis was detected by flow cytometry,cell invasion ability was detected by Transwell,and EMT pathway protein expression was detected by Western blot.Results Compared with adjacent normal tis-sues,the expression of ACSL4 and FASN genes in cancer tissues increased,and there was a positive corre-lation.The expression of ACSL4 significantly increased in ECA109,EC9706 and TE-1 cells compared with HET-1 A cells.With the increase of gefitinib concen-tration,the expression of ACSL4 in TE-1 cells gradually increased,and the expression of ACSL4 in TE-1/GR cells was higher than that of TE-1.Compared with the control group and the si-NC group,the cell proliferation and invasion ability of si-ACSL4 group decreased,the number of apoptosis increased,the expression of E-Cadherin increased,and the expression of N-Cadherin,Vimentin and β-catenin decreased.The response ex-periment showed that compared with the si-ACSL4 group and the si-ACSL4+oe-NC group,the cells in the si-ACSL4+oe-FASN group increased drug resistance,increased proliferation and invasion ability,decreased apoptosis number and decreased expression of E-Cad-herin.The expressions of N-Cadherin,Vimentin and β-catenin increased.Conclusions By down-regulating the expression of FASN,ACSL4 reverses the resistance of esophageal cancer TE-1/GR cells to gefitinib and in-hibits the proliferation,invasion and accelerates apopto-sis of TE-1/GR cells,which may be related to the regu-lation of EMT signaling pathway.

Perceptual decision making refers to the process by which individuals make choices and judgments based on sensory information, serving as a fundamental ability for human adaptation to complex environments. While traditional research has focused on perceptual decision making in isolated contexts, growing evidence highlights the profound influence of social contexts prevalent in real-world scenarios. As a crucial factor supporting individual survival and development, social context not only provides rich information sources but also shapes perceptual decision making through top-down processing mechanisms, prompting researchers to recognize the inherently social nature of human decisions. Empirical studies have demonstrated that social information, such as others’ choices or group norms, can systematically bias individuals’ perceptual decisions, often manifesting as conformity behaviors. Social influence can also facilitate performance under certain conditions, particularly when individuals can accurately identify and adopt high-quality social information. The impact of social context on perceptual decisions is modulated by a variety of external and internal factors, including group characteristics(e.g., group size, response consistency), attributes of peers (e.g., familiarity, social status, distinctions between human and artificial agents), as well as individual differences such as confidence, personality traits, and developmental stage. The motivations driving social influence encompass three primary mechanisms: improving decision accuracy through informational influence, gaining social acceptance through normative influence, and maintaining positive self-concept. Recent computational approaches have employed diverse theoretical frameworks to provide valuable insights into the cognitive mechanisms underlying social influence in perceptual decision making. Reinforcement learning models demonstrate how social feedback shapes future choices through reward-based updating. Bayesian inference frameworks describe how individuals integrate personal beliefs with social information based on their respective reliabilities, dynamically updating beliefs to optimize decisions under uncertainty. Drift diffusion models offer powerful tools to decompose social influence into distinct cognitive components, allowing researchers to differentiate between changes in perceptual processing and shifts in decision criteria. Collectively, these models establish a comprehensive methodological foundation for disentangling the multiple pathways by which social context shapes perceptual decisions. Neuroimaging and electrophysiological studies provide converging evidence that social context influences perceptual decision making through multi-level neural mechanisms. At early perceptual processing stages, social influence modulates sensory evidence accumulation in parietal cortex and directly alters primary visual cortex activity, while guiding selective attention to stimulus features consistent with social norms through attentional alignment mechanisms. At higher cognitive levels, the reward system (ventral striatum, ventromedial prefrontal cortex) is activated during group-consistent decisions; emotion-processing networks (anterior cingulate cortex, insula, amygdala) regulate experiences of social acceptance and rejection; and mentalizing-related brain regions (dorsomedial prefrontal cortex, temporoparietal junction) support inference of others’ mental states and social information integration. These neural circuits work synergistically to achieve top-down multi-level modulation of perceptual decision making. Understanding the mechanisms by which social context shapes perceptual decision making has broad theoretical and practical implications. These insights inform the optimization of collective decision-making, the design of socially adaptive human-computer interaction systems, and interventions for cognitive disorders such as autism spectrum disorder and anorexia nervosa. Future studies should combine computational modeling and neuroimaging approaches to systematically investigate the multi-level and dynamic nature of social influences on perceptual decision making.

This study aimed to explore the therapeutic mechanisms of Colquhounia Root Tablets(CRT) in treating diabetic kidney disease(DKD) by integrating biomolecular network mining with animal model verification. By analyzing clinical transcriptomics data, an interaction network was constructed between candidate targets of CRT and DKD-related genes. Based on the topological eigenvalues of network nodes, 101 core network targets of CRT against DKD were identified. These targets were found to be closely related to multiple pathways associated with type 2 diabetes, immune response, and metabolic reprogramming. Given that immune-inflammatory imbalance driven by metabolic reprogramming is one of the key pathogenic mechanisms of DKD, and that many core network targets of CRT are involved in this pathological process, receptor for advanced glycation end products(RAGE)-reactive oxygen species(ROS)-phosphatidylinositol 3-kinase(PI3K)-protein kinase B(AKT)-nuclear factor-κB(NF-κB)-NOD-like receptor family pyrin domain containing 3(NLRP3) signaling axis was selected as a candidate target for in-depth research. Further, a rat model of DKD induced by a high-sugar, high-fat diet and streptozotocin was established to evaluate the pharmacological effects of CRT and verify the expression of related targets. The experimental results showed that CRT could effectively correct metabolic disturbances in DKD, restore immune-inflammatory balance, and improve renal function and its pathological changes by inhibiting the activation of the RAGE-ROS-PI3K-AKT-NF-κB-NLRP3 signaling axis. In conclusion, this study reveals that CRT alleviates the progression of DKD through dual regulation of metabolic reprogramming and immune-inflammatory responses, providing strong experimental evidence for its clinical application in DKD.
Animals ; Diabetic Nephropathies/metabolism* ; Receptor for Advanced Glycation End Products/genetics* ; NF-kappa B/genetics* ; Signal Transduction/drug effects* ; Rats ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Proto-Oncogene Proteins c-akt/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Phosphatidylinositol 3-Kinases/genetics* ; Reactive Oxygen Species/metabolism* ; Humans ; Plant Roots/chemistry* ; Rats, Sprague-Dawley ; Tablets/administration & dosage*

Hepatocellular carcinoma(HCC), the third leading cause of cancer-related death worldwide, is characterized by high mortality and recurrence rates. Common treatments include hepatectomy, liver transplantation, ablation therapy, interventional therapy, radiotherapy, systemic therapy, and traditional Chinese medicine(TCM). While exhibiting specific advantages, these approaches are associated with varying degrees of adverse effects. To alleviate patients' suffering and burdens, it is crucial to explore additional treatments and elucidate the pathogenesis of HCC, laying a foundation for the development of new TCM-based drugs. With emerging research on gut microbiota, it has been revealed that microbiota plays a vital role in the development of HCC by influencing intestinal barrier function, microbial metabolites, and immune regulation. TCM, with its multi-component, multi-target, and multi-pathway characteristics, has been increasingly recognized as a vital therapeutic treatment for HCC, particularly in patients at intermediate or advanced stages, by prolonging survival and improving quality of life. Recent global studies demonstrate that TCM exerts anti-HCC effects by modulating gut microbiota, restoring intestinal barrier function, regulating microbial composition and its metabolites, suppressing inflammation, and enhancing immune responses, thereby inhibiting the malignant phenotype of HCC. This review aims to elucidate the mechanisms by which gut microbiota contributes to the development and progression of HCC and highlight the regulatory effects of TCM, addressing the current gap in systematic understanding of the "TCM-gut microbiota-HCC" axis. The findings provide theoretical support for integrating TCM with western medicine in HCC treatment and promote the transition from basic research to precision clinical therapy through microbiota-targeted drug development and TCM-based interventions.
Humans ; Gastrointestinal Microbiome/drug effects* ; Carcinoma, Hepatocellular/microbiology* ; Liver Neoplasms/microbiology* ; Drugs, Chinese Herbal/administration & dosage* ; Animals ; Medicine, Chinese Traditional

Background and Aims:Body mass index(BMI),an important indicator of nutrition and health,is closely associated with postoperative complications.This study was performed to investigate the relationship between preoperative BMI and severe complications in patients undergoing liver resection for hepatolithiasis,aiming to provide preoperative guidance for clinicians,reduce the risk of postoperative complications,and ensure surgical safety and efficacy.Methods:The clinical data of 484 patients with hepatolithiasis who underwent liver resection between May 2006 and December 2022 at the First Affiliated Hospital of Army Medical University and Beijing Tsinghua Changgung Hospital were retrospectively collected.Patients were classified into low BMI group(≤18.4 kg/m2),normal BMI group(18.5-24.9 kg/m2),and high BMI group(≥25.0 kg/m2)based on preoperative BMI.Baseline characteristics,overall complications,severe complications,and other postoperative outcomes were compared between the normal BMI group and the low group as well as the high BMI group.Risk factors for severe complications after liver resection were analyzed.Results:Among the 484 patients,79(16.3％)were in the low BMI group,328(67.8％)in the normal BMI group,and 77(15.9％)in the high BMI group.The high BMI group had significantly higher ASA score,preoperative albumin level,and proportion of hypertension compared to the normal BMI group(all P＜0.05).Baseline characteristics in the low BMI group showed no significant differences compared to the normal BMI group(all P＞0.05).The incidence rates of overall complications were not significantly among the three groups(P＞0.05).However,the high BMI group had significantly higher incidence rates of severe complications(Clavien-Dindo grade Ⅲ-Ⅳ),postoperative infections,liver failure,and bile leakage compared to the normal BMI group;the low BMI group had significantly higher rates of perioperative blood transfusion,postoperative infections,liver failure,and reoperation compared to the normal BMI group(all P＜0.05).Univariate and multivariate Logistic regression analyses identified high BMI and preoperative total bilirubin ≥54 pmol/L as independent risk factors for severe complications after liver resection in patients with hepatolithiasis(both P＜0.05).Conclusion:Preoperative BMI is closely associated with the occurrence of complications after liver resection in patients with hepatolithiasis,with high BMI being an independent risk factor for severe complications.To mitigate the risk of severe complications,clinical practice should prioritize monitoring and management of individuals with high BMI and other risk factors

Objective:To analyze the association between standardized management of clinical research, initiated by investigators and guided by clinical research management policies in healthcare institutions, and changes in the research behavior of graduate students.Methods:Theses related to cardiovascular health published by graduate students in the Sichuan-Chongqing region of China between January 2019 and June 2024 were retrieved from the China National Knowledge Infrastructure database. Multilevel models were used to analyze changes in ethical compliance awareness, research methodology standardization, and academic collaboration of graduate students before and after policy implementation. Using Shapiro Wilk test and percentage representation.Results:Among the 712 theses included in this study, the proportion of studies with ethical review reports increased from 44.50% to 55.32% following the implementation of standardized management [odds ratio ( OR)=1.80, P=0.017]. Standardized management significantly improved the quality scores of cross-sectional studies and randomized controlled trials ( P<0.001), as well as significantly increased the frequencies of multi-center collaboration ( OR=2.84, P=0.001) and intra-provincial collaboration ( OR=2.80, P=0.001). Conclusions:Standardized clinical research management shows significant association with positive changes in the research behavior of graduate students. Further optimization of management measures is recommended to comprehensively enhance the clinical research capabilities of graduate students.