Mitochondria, ubiquitous energy-producing organelles in eukaryotic cells, can have their normal functions disrupted by bacterial infections, leading to mitochondrial dysfunction. This dysfunction is closely associated with inflammatory diseases. Periodontitis, a chronic inflammatory disorder of periodontal tissues caused by pathogenic microorganisms, has been increasingly linked to mitochondrial dysfunction in its pathogenesis and progression. Compared to healthy periodontal tissues, inflammatory lesions exhibit more pronounced mitochondrial dysfunction—a pathological process that is strongly correlated with periodontal pathogen infection. Studies reveal that these pathogens disrupt mitochondrial homeostasis in host cells (e.g., gingival epithelial cells and fibroblasts) through multiple mechanisms, including disrupting mitochondrial biogenesis, altering mitochondrial dynamics (promoting excessive fission), inhibiting mitophagy, impairing mitochondrial dysfunction-associated apoptosis, and inducing endogenous oxidative stress, which upregulates pro-inflammatory cytokines. Collectively, these processes drive the establishment and persistence of an inflammatory microenvironment. This review explores how periodontal pathogens affect mitochondrial function and their mechanistic contributions to periodontitis progression, with the goal of providing novel insights for developing mitochondria-targeted therapeutic strategies.

This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.

Aiming at the problems of tongue diagnosis instruments relying on manual operation,uneven illumination,color distortion and lack of dynamic information,an automated operation black box tongue diagnosis instrument based on machine vision is proposed.This instrument utilizes machine vision technology and image processing algorithms to achieve automatic positioning and automatic acquisition of tongue manifestations.High-resolution camera technology enables the acquisition of 3-second dynamic videos and high-quality static images.The performance test results show that,based on the dual-camera geometric projection calibration algorithm,the average time for tongue recognition is less than 0.15 seconds.The diffuse reflection light source improves the gray uniformity to 76.74%,and the maximum color difference in color reproduction degree is 19,which is better than the industry standard value of 25.The developed tongue diagnosis instrument will promote the objective,efficient and precise acquisition of tongue diagnosis in traditional Chinese medicine.

Purpose To investigate the expression of LAMB3 and ITGB4 in esophageal squamous cell carcinoma(ESCC)and analyze their associations with clinicopathological features.Methods Bioinformatics was used to assess the expression of LAMB3 and ITGB4 in pan-cancer and ESCC.Immunohistochemistry was performed to evaluate their expression and distribution in ESCC tissues,and correlations clinicopathological features were analyzed.Follow-up data were collected to construct Kaplan-Meier survival curves,and Cox regression analysis was proformed to determine their prognostic significance.Results Bioinformatics analysis showed that LAMB3 and ITGB4 were highly expressed in ES-CC tissues(P＜0.001).Immunohistochemistry confirmed that both proteins were localized in the cytoplasm and membrane of tumor cells.High LAMB3 expression was significantly associated with poor differentiation(P＜0.001),lymph node metastasis(P=0.015),and T staging(P＜0.001).High ITGB4 expression was significantly correlated with poor differentiation(P=0.004)and advanced T staging(P=0.004).Cox regression analysis identified high ex-pression of LAMB3 and ITGB4 as independent prognostic factors for overall survival[HR=4.97(95％CI:2.73-9.02);HR=2.33(95％CI:1.36-3.99)].Conclusion LAMB3 and ITGB4 are highly expressed in ESCC.High LAMB3 expression is associated with tumor differentiation,lymph node metastasis,and T staging,while high ITGB4 expression is correlated with tumor differentiation and T staging.Patients with high expression of LAMB3 or ITGB4 have poorer overall survival,suggesting that these proteins may serve as prognostic biomarkers for unfavorable outcome in ESCC.

Objective To propose a precise suctioning scheme for intravenous drug dispensing based on the vial dispensing robot to enhance the quality of finished infusion.Methods Six kinds of typical representative vial drugs were selected as the research objects,including pantoprazole sodium for injection,papaverine hydrochloride for injection,cefuroxime sodium for injection,Bozhi Glycopeptide Injection,Esomeprazole Sodium for Injection and Methylprednisolone Sodium Succinate for injection.The optimal suction speed was determined by studying the relationship between the size parameters of vials and the suction speed of robot dispensing,which was used to carry out drug dispensing with the vial dispensing robot to verify whether the minimum drug residue could be obtained with the speed.The drug residue was compared with that by manual dispensing.SPSS 24.0 and Excel 2021 were applied to statistical analysis.Results The optimal suction efficiency and minimized drug residue could be got with the depth of the syringe needle hole into the rubber plug(X)less than the height of the rubber plug(H)and the optimal suction speed(Vs)of 7.48 mm/s;the suction efficiency could be ensured without air drawn in when X not less than H and Vs ranging from 10.64 to 39.31 mm/s.The mean values of the drug residue by the robot were all lower than those by manual dispensing,with the differences being statistically significant(P<0.05).Conclusion The proposed scheme can be used for optimizing the parameters of the vial vial dispensing robot to obtain infusion solution with high stability and reliability,which promotes standardization and normalization of intravenous infusion dispensing process.[Chinese Medical Equipment Journal,2025,46(9):45-51]

Objective:To investigate the effect of innovative perioperative pain management on prostate cancer patients with he-maturia undergoing prostatic artery embolization(PAE).Methods:A total of 60 patients undergoing PAE in the Interventional Ther-apy Department of General Hospital of Eastern Theater Command from May 2024 to January 2025 were selected by convenience sam-pling method and randomly divided into the intervention group and the control group,with 30 patients in each group.The control group received traditional pain management of nursing.An innovative perioperative pain management was performed in intervention group in-cluding preoperative"body-mind-pain"holistic assessment and preparation,intraoperative humanistic care and real-time support,post-operative multimodal analgesia and rehabilitation,dynamic monitoring and closed-loop feedback.The pain degree after 6 hours,1 day,3 days and 1 week of the operation,and the quality of life after 1 week of operation,as well as nursing satisfaction at discharge were compared between the two groups.Results:The VAS scores of the intervention group were significantly lower than those of the con-trol group after 6 hours,1 day,3 days and 1 week of operation(P＜0.05).One week after the operation,the quality of life in the ob-servation group was higher than that of the control group significantly(P＜0.05).The nursing satisfaction of the observation group was significantly higher than that of the control group at discharge(P＜0.05).Conclusion:The application of innovative perioperative pain management can alleviate pain of patients with PAE,which improves the quality of life and nursing satisfaction of patients,and is conducive to the rehabilitation of patients.

With the rapid advancement of artificial intelligence(AI)technology,its applications in the medical field have been expanding significantly.In the realm of hematopathological diagnosis,the advent of whole slide imaging(WSI)technology has paved the way for AI-based automatic slide reading,which is gradually transforming traditional diagnostic approaches.By establishing and training sophisticated algorithm models,AI,particularly deep learning and machine learning,can accurately and swiftly identify and analyze abnormal cells or tissues,as well as correctly inter-pret immunohistochemical staining results.This not only alleviates the workload of hematopathologists but also shortens the reporting cycle.As a result,it holds substantial application value in the fields of bone marrow pathology and bone marrow cell morphology diagnosis.Moreover,AI also demonstrates broad potential in the analysis of results from flow cytometry,chromosome karyotyping,and next-generation sequencing.Overall,the integration of AI technology is of great significance in propelling the development of intelligent diagnosis in hematopathology.This article aims to provide a comprehensive review of the application of AI in hematopathological diagnosis,and to explore its current status and future prospects.

Objective:To investigate the effects of apixaban on cardiac function,serum levels of soluble suppression of tumorigenicity 2(sST2),fibroblast growth factor-23(FGF-23)and inflammatory factors in patients with atrial fibrillation(AF)and coronary artery disease(CAD).Methods:This randomized controlled study enrolled 120 pa-tients with AF and CAD who admitted Changzhou Wujin Hospital of Traditional Chinese Medicine between July 2022 and December 2023.Patients were randomly divided into control group(n=60,warfarin therapy)and inter-vention group(n=60,apixaban therapy).Each group received corresponding medication based on routine therapy for 8 weeks.Cardiac function indicators,levels of serum sST2,FGF-23,inflammatory factors,myocardial fibrosis indicators,and incidence of adverse reactions were compared between the two groups.Results:Compared to those in the control group,participants in the intervention group had significantly higher left ventricular ejection fraction(LVEF)[(52.22±3.69)％vs.(48.37±4.14)％]and 6-minute walking distance(6MWD)[(456.29±56.47)m vs.(415.25±11.32)m](P＜0.001 all),and significantly lower left ventricular end-diastolic diameter(LVEDd)[(44.98±4.55)mm vs.(50.26±3.61)mm],levels of N-terminal pro B-type natriuretic peptide(NT-proB-NP)[(341.16±29.51)pg/ml vs.(392.33±32.27)pg/ml],cardiac troponin I(cTnI)[(3.76±1.12)ng/ml vs.(5.22±1.36)ng/ml],creatine kinase isoenzyme-MB(CK-MB)[(25.71±6.51)U/L vs.(39.13±6.33)U/L],high sensitive C-reactive protein(hsCRP)[(1.63±0.51)mg/L vs.(1.98±0.46)mg/L],tumor necrosis fac-tor-alpha(TNF-α)[(27.17±5.11)ng/Lvs.(34.19±5.32)ng/L],sST2[(52.11±5.87)μg/L vs.(62.37±5.82)μg/L]and FGF-23[(45.73±4.29)μg/L vs.(56.09±5.25)μg/L](P＜0.001 all).We detected signifi-cant lower incidence of adverse reactions in intervention group compared to control group(6.9％vs.26.3％,P=0.005).Conclusion:Apixaban could alleviate myocardial fibrosis,improve cardiac function,and reduce levels of heart failure biomarkers and inflammatory factors in patients with coronary artery disease and atrial fibrillation.

Objective To develop and validate a fast Monte Carlo(MC)-based patient-specific quality assurance(PSQA)tool using the treatment log files that is suitable to be used in the online adaptive radiotherapy for pencil beam scanning proton therapy(PBSPT-ART).Methods The proposed tool first used the delivery log file of a PBSPT plan to reversely reconstruct the PBSPT(rPBSPT)plan,and then used an in-house developed graphic processing unit(GPU)-accelerated virtual particle MC(VPMC)dose engine to calculate the dose distribution of the rPBSPT plan.The rPBSPT dose calculated by VPMC was then compared to the rPBSPT dose calculated by another independent MC dose engine(MCsquare),using 3D gamma analysis to verify the accuracy of VPMC calculation.As a demonstration of the feasibility of developed log file-based PSQA,the VPMC calculated dose of the rPBSPT plan was compared to the pre-delivery second check dose of the corresponding PBSPT plan calculated by MCsquare,using 3D gamma analysis.3D gamma analysis employes a criterion of 2 mm/2%/10%.Twenty patients with different disease sites were representatively selected to validate the efficiency and accuracy of the tool.Results The average calculation time of a rPBSPT plan by VPMC was(5.88±4.00)s in the accuracy verification.Compared to MCsquare,the passing rate of the 3D gamma analysis was 99.47%±0.72%.In the proposed PSQA tool demonstration,the passing rate of comparing the VPMC calculated rPBSPT dose to MCsquare calculated second check dose of the corresponding PBSPT plan was 98.91%±0.92%.Conclusion The accuracy and efficiency of the tool can meet the requirements of PSQA in the online PBSPT-ART workflow.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.