ObjectiveTo investigate the imaging features of calcium salt deposition and serological markers in patients with alveolar echinococcosis through a retrospective analysis， as well as independent risk factors for the degree of calcium salt deposition in lesions， and to provide a basis for assessing disease process. MethodsA retrospective analysis was performed for the imaging and clinical data of 107 patients with alveolar echinococcosis who were admitted to The First Affiliated Hospital of Shihezi University from December 2023 to June 2025， and according to the volume of calcium salt deposition， they were divided into non-deposition group with 16 patients， mild deposition group with 52 patients， moderate deposition group with 16 patients， and severe deposition group with 23 patients. A one-way analysis of variance or the Kruskal-Wallis H test was used for comparison of continuous data between groups， and the χ² test or Fisher’s exact test was used for comparison of categorical data between groups. The four groups were further combined into the low deposition group （no/mild deposition） and the high deposition group （moderate/severe deposition）. A binary logistic regression analysis was used to investigate the independent influencing factors for calcium salt deposition， and a predictive model was established. The receiver operating characteristic （ROC） curve was used to assess the predictive performance of the model， and the Bootstrap method was used for internal validation. ResultsThere were significant differences between the four groups in sex distribution， involvement of other sites， white blood cell count， lymphocyte percentage， fibrinogen， uric acid， sodium ion， chloride ion， and calcium ion （all P<0.05）. The univariate analysis showed that there were significant differences between the four groups in sex， involvement of other sites， white blood cell count， lymphocyte percentage， fibrinogen， alanine aminotransferase， albumin， creatinine， uric acid， sodium ion， chloride ion， and calcium ion （all P<0.1）. The multi-collinearity diagnosis showed that the VIF values for all continuous variables ranged from 1.104 to 1.760， suggesting that collinearity did not affect modeling. An ordinal logistic regression model was established based on sex， involvement of other sites， calcium ion， lymphocyte percentage， and uric acid. The multivariate analysis showed that lymphocyte percentage （odds ratio ［OR］=1.106， 95% confidence interval ［CI］： 1.041 — 1.174， P=0.001） and blood calcium level （OR=0.005， 95%CI： 0.000 —0.230， P=0.007） were independent influencing factors for the degree of calcium salt deposition. The regression equation was established as Logit（P）=8.231 + 0.100 × lymphocyte percentage -5.344 × calcium ion. The ROC curve analysis showed that the model had an area under the ROC curve of 0.716， with a Youden index of 0.353， a sensitivity of 1.000， and a specificity of 0.353. The Hosmer-Lemeshow test showed that the model had poor calibration （χ²=20.688， P=0.008）. The Bootstrap method with 1000 repeated samples showed that the estimated values of lymphocyte percentage （OR=1.106， 95%CI： 1.049 — 1.186， P=0.002） and calcium ion （OR=0.005， 95%CI： 0.000 — 0.214， P=0.010） were consistent with the original model， and the confidence intervals did not include 1， which further supported the reliability of the model. ConclusionBoth lymphocyte percentage and blood calcium level are independent influencing factors for calcium salt deposition in alveolar echinococcosis， and the degree of calcium salt deposition in alveolar echinococcosis lesions increases with the reduction in blood calcium level and the increase in lymphocyte percentage.

Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.

Objective This research was performed to identify rodent-borne pathogens in Hekou Port,Yunnan Province.Methods Rodents were captured using cages and dissected to collect their lungs,liver,spleen,and other viscera.Eight pathogens,including Yersinia pestis,Leptospira,Bartonella,and Anaplasmataceae,were identified using polymerase chain reaction amplification.Amplified pathogen sequences from positive samples were sequenced,and BLAST homology searches were conducted using GenBank to confirm pathogen identities.A phylogenetic tree of the identified pathogens was constructed using the neighbor joining method.Results The total of 31 rodents,identified as Rattus tanezumi,R.norvegicus,and Mus musculus,were captured.Among these,R.tanezumi was the dominant species,accounting for 64.52％of the total.Two pathogens,Leptospira interrogans and Neoehrlichia mikurensis,were detected,with positivity rates of 9.68％and 29.03％,respectively.No other pathogens were detected.The overall positivity rate for rodent-borne pathogens was 35.48％.Conclusions The single 16S rRNA gene fragment is insufficient for the molecular identification of all Neoehrlichia species.Accurate species identification should be based on a combined analysis of multiple genes.The prevalence of rodent-borne pathogens in Hekou Port indicates the necessity for enhanced surveillance of rodent-borne diseases and implementation of additional prevention and control measures in border ports.

Instrument separation is a critical complication during root canal therapy, impacting treatment success and long-term tooth preservation. The etiology of instrument separation is multifactorial, involving the intricate anatomy of the root canal system, instrument-related factors, and instrumentation techniques. Instrument separation can hinder thorough cleaning, shaping, and obturation of the root canal, posing challenges to successful treatment outcomes. Although retrieval of separated instrument is often feasible, it carries risks including perforation, excessive removal of tooth structure and root fractures. Effective management of separated instruments requires a comprehensive understanding of the contributing factors, meticulous preoperative assessment, and precise evaluation of the retrieval difficulty. The application of appropriate retrieval techniques is essential to minimize complications and optimize clinical outcomes. The current manuscript provides a framework for understanding the causes, risk factors, and clinical management principles of instrument separation. By integrating effective strategies, endodontists can enhance decision-making, improve endodontic treatment success and ensure the preservation of natural dentition.
Humans ; Root Canal Therapy/adverse effects* ; Consensus ; Root Canal Preparation/adverse effects*

Objective To investigate the dosimetric differences in preoperative short-course volumetric modulated arc therapy(VMAT)for rectal cancer using different fluence smoothing(FS)levels in the Monaco Treatment Planning System(Monaco TPS).Methods Twenty rectal cancer patients who received preoperative neoadjuvant short-course VMAT at some hospital from September 2021 to December 2022 were retrospectively selected.Four groups of radiotherapy plans were formulated using the Monaco TPS for each case,which were classified into an off group,a low group,a medium group and a high group based on the FS levels.Then the four groups were compared in terms of the dosimetric parameters,monitor unit and number of the segments in the planning target volume(PTV)and organ at risk(OAR).Statistical analysis was performed using SPSS 27.0 software.Results All the four groups had the doses to the target volume meeting clinical requirements,which had no significant differences in the doses to 5％(D5％)and 95％(D95％)to the target volume and the maximum dose(Dmax),minimum dose(Dmin),mean dose(Dmean)and conformity index(all P＞0.05).Statistical differences were found between the homogeneity indexes of the four groups(P＜0.05),with the medium group behaving the best.The number of the segments rose while the mornitor units decreased siginificantly with the increase of FS levels,with the differences being statistically significant(P＜0.05).There were no significant differences between the V25,V20,V15 and V10 of the small intestine,the V25 and V20 of the bladder and the V15 and V10 of the left and right femur(all P＞0.05).Conclusion In preoperative short-course VMAT for rectal cancer,clinical requirements can be met with different FS levels in the Monaco TPS,and medium-level FS results in optimal overall dose distribution in terms of treatment planning.[Chinese Medical Equipment Journal,2025,46(5):48-53]

Objective:To explore the diagnostic value of fetal echocardiography (ECHO) for ventricular septal defect (VSD) and the causes of missed diagnosis and misdiagnosis by analyzing the standard of ECHO sections and image quality.Methods:A retrospective analysis was conducted on 94 VSD fetuses diagnosed by ECHO at Xiangtan Maternal and Child Health Care Hospital from January 2022 to June 2024. Clinical data including the anatomic subtypes, associated anomalies, chromosomal karyotype results, pregnancy outcomes, and neonatal ECHO results were collected and analyzed. Besides, by reviewing the ultrasound images from the institution's ultrasound workstation, a descriptive analysis was conducted on the ECHO section criteria and image quality in the missed and misdiagnosed cases.Results:Among 10 984 fetuses undergoing ECHO, a total of 94 cases of fetal VSD were detected (0.7%), including 45 (48%) isolated VSD and 49 (52%) non-isolated VSD cases. Anatomic distribution revealed perimembranous type predominance (67, 71%), followed by muscular (24, 26%), subarterial types (2, 2%), and perimembranous+muscular type (1, 1%). Among 29 missed diagnosis cases (fetal ECHO-negative but neonatal ECHO-confirmed VSDs), all were isolated VSD, muscular types accounted for 19 (66%), perimembranous types for 8 (27%), and subarterial types for 2 (7%). The causes of missed diagnosis include: technical limitation in 14 cases (48%), restricted cardiac acoustic window in 11 cases (38%), and operator-dependent factors in four cases (14%). All 18 misdiagnosed cases occurred in isolated VSD, with 15 cases of perimembranous and three cases of muscular types. The causes of misdiagnosis include: nine cases due to non-perpendicular beam alignment to perimembranous septum, six cases due to excessively high color flow gain,and three cases due to the misinterpretation of the right ventricular outflow tract flow above the aortic valve as VSD septal perforation blood flow. The sensitivity and specificity of fetal ECHO for diagnosing VSD were 76.42% and 99.83%. Among the 94 cases of fetal VSD, 38 cases (40%) underwent chromosomal karyotype analysis and chromosomal microarray analysis, which identified chromosomal karyotype abnormalities or pathogenic gene variants in 4/16 non-isolated VSDs (all perimembranous), while no anomalies were detected in 22 isolated VSDs. Pregnancy outcomes showed 31 terminations due to associated structural or chromosomal abnormalities versus 63 live births. In the live births, who underwent echocardiography in the neonatal period, 19 cases (30%) showed no VSD and were considered to have undergone spontaneous in utero closure, and persistent defects were found in 44 (70%).Conclusions:Fetal ECHO demonstrates high sensitivity and specificity in the diagnosis of fetal VSD. Critical quality control measures include individualized parameter adjustment and systematic multiplanar continuous scanning to minimize diagnostic errors. Isolated small and medium-sized muscular and perimembranous VSD usually have a good prognosis.

Objectives:To investigate the prognostic value of the CHA2DS2-VASc and R2CHA2DS2-VASc scores in patients with atrial fibrillation(AF)and heart failure(HF).Methods:Patients with AF and HF from hospitals diagnosed by the Heart Failure Center in Guangdong Province between January 2017 and December 2021 were selected.Major adverse cardiovascular events(MACE)were used as the follow-up endpoint.Statistical methods such as the area under the receiver operating characteristic(ROC)curve(AUC),net reclassification index(NRI),and integrated discrimination improvement(IDI)were applied to evaluate the predictive value of the CHA2DS2-VASc and R2CHA2DS2-VASc scores in patients with AF and HF.Results:A total of 1 839 patients were enrolled in this study,comprising 703 patients in the MACE group and 1 136 patients in the non-MACE group.Compared with the non-MACE group,the MACE group exhibited significantly advanced age,higher prevalence of New York Heart Association class Ⅳ and coronary artery disease,lower diastolic blood pressure and estimated glomerular filtration rate levels,and elevated serum N-terminal pro-B-type natriuretic peptide concentrations(all P<0.05).Additionally,significantly lower proportions of patients in the MACE group received angiotensin-converting enzyme inhibitors/angiotensin receptor blockers/angiotensin receptor-neprilysin inhibitors,beta-blockers,mineralocorticoid receptor antagonists,or anticoagulant therapy(all P<0.05).Multivariable logistic regression analysis revealed that each 1-point increment in both CHA2DS2-VASc and R2CHA2DS2-VASc scores was associated with approximately 10%increased risk of MACE.ROC curve analysis demonstrated that the AUC values for predicting MACE in AF patients with HF were 0.555(95%CI:0.528-0.582,P<0.001)for CHA2DS2-VASc and 0.576(95%CI:0.549-0.608,P<0.001)for R2CHA2DS2-VASc,indicating marginally superior discriminatory capacity of the R2CHA2DS2-VASc score.Delong's test confirmed statistically significant differences between the two scoring systems(P=0.001).The R2CHA2DS2-VASc score demonstrated a NRI of 0.259(95%CI:0.166-0.352,P<0.001)and an IDI of 0.007(95%CI:0.005-0.010,P<0.001)compared with the conventional CHA2DS2-VASc score.Although the R2CHA2DS2-VASc score exhibited slightly better predictive accuracy and outcome discrimination capacity than the original scoring system,both scores demonstrated suboptimal clinical predictive performance.Conclusions:Both the R2CHA2DS2-VASc and CHA2DS2-VASc scores show suboptimal performance for predicting the risk of MACE in patients with AF and HF,and the predicting performance of R2CHA2DS2-VASc score is marginally superior to CHA2DS2-VASc score in this patient cohort.

Objective To propose a Weka-based method for classifying acute lymphoblastic leukemia(ALL)images,aiming to improve ALL cell classification accuracy and stability.Methods Firstly,totally 180 images were randomly selected from ALL-IDB2 subset of Acute Lymphoblastic Leukemia Image Database(ALL-IDB),including 90 images of patients and 90 images of healthy people;secondly,the image preprocessing was carried out using ImageJ software and image features were extracted such as texture,edge and shape;thirdly,image classification was implemented with four classifiers of Weka,including random forest(RF),Bayesian network(BN),J48 decision tree and sequential minimal optimization(SMO),and the key parameters of each classifier were optimized;finally,the performance of the classifiers was verified using 80 independent test images.Results Before parameter optimization,the accuracy of RF,J48 decision tree,BN and SMO classifiers was 94.3％,86.2％,83.6％and 83.0％,respectively.After optimization,the accuracy increased to 95.2％,86.3％,86.3％and 89.7％,respectively.After optimization,RF behaved the best on the independent test set with a classification accuracy of 90.0％,followed by SMO(81.3％),BN(81.3％)and J48 decision tree(75.0％).Conclusion The Weka-based ALL image classification method with a high accuracy is efficient and reliable for automated classification of ALL cell.[Chinese Medical Equipment Journal,2025,46(2):10-15]

ObjectiveTo explore the differences in the accumulation of secondary metabolites of Dendrobium nobile cultivated on epiphytic stones and trees， so as to elucidate the scientific connotation of "only those that grow on stones has superior quality"， and provide a direction for the cultivation and quality evaluation of D. nobile. MethodsUltra-performance liquid chromatography-triple quadrupole/linear ion trap mass spectrometry（UPLC-QTRAP-MS/MS）-based widely targeted metabolomics was used to detect the metabolites of D. nobile cultivated on epiphytic stones and trees. And the combination of principal component analysis（PCA）， hierarchical cluster analysis（HCA）， and orthogonal partial least squares-discriminant analysis（OPLS-DA） was performed for multivariate statistical analysis of metabolites. Differential metabolites were screened by variable importance in the projection（VIP） value≥1 and log₂fold change（FC）≥1 or ≤-1， and Kyoto Encyclopedia of Genes and Genomes（KEGG） enrichment analysis was conducted. ResultsA total of 1 267 metabolites were identified in the stems of D. nobile from the two cultivation modes， dominated by flavonoids（292）， phenolic acids（284）， and alkaloids（189）. Through OPLS-DA screening， 473 differential metabolites were obtained. Compared to epiphytic tree-cultivated D. nobile， epiphytic stone-cultivated D. nobile exhibited upregulation of flavonoids， phenolic acids， alkaloids， lignans and coumarins， while quinones and terpenoids were down-regulated. The differential metabolites mainly included flavonoid glycosides and alkaloids， and these differential metabolites significantly contributed to characterizing the two cultivation patterns. KEGG enrichment analysis revealed significant enrichment in pathways of flavone and flavonol biosynthesis， flavonoid biosynthesis， tyrosine metabolism， and phenylalanine metabolism in epiphytic stone-cultivated D. nobile. ConclusionEpiphytic stone cultivation is beneficial for the accumulation of phenolic acids， flavonoids， and alkaloids in D. nobile， indicating that the "only those that grow on stones has superior quality" documented in the materia medica has certain scientific basis， and the findings also provide a reference for quality evaluation and discrimination research between epiphytic stone and tree cultivated D. nobile.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.