Pancreaticobiliary maljunction （PBM） is a rare congenital developmental defect of the biliary-pancreatic system characterized by a junction of the pancreatic and bile ducts outside the duodenal wall， forming an extended common channel. This anatomical anomaly compromises the normal function of Oddi’s sphincter， weakens defenses against reflux， and thus triggers a series of biliary and pancreatic complications. Although there is a relatively low incidence rate of PBM， its insidious clinical symptoms often lead to delayed diagnosis， which increases the difficulties in treatment and the risk of poor prognosis. For PBM patients with marked bile duct dilatation， surgical intervention， especially cholecystectomy combined with extrahepatic bile duct resection and bile duct-jejunum Roux-en-Y anastomosis， remains the standard treatment at present. For PBM without marked bile duct dilatation， there are still controversies over related treatment strategies， and most experts are in favor of cholecystectomy， while there is still a lack of consensus on the management of extrahepatic bile ducts， which requires further research and exploration. Endoscopic retrograde cholangiopancreatography （ERCP） is currently the gold standard for diagnosing PBM and assessing pancreaticobiliary abnormalities， and it can not only clarify the nature of lesion， but also collect the bile and biliary duct tissue for pathological examination. ERCP also has the function of interventional treatment， such as stenting， expansion， and drainage， thereby bringing benefits to patients comorbid with biliary neoplasms. However， the application of ERCP in screening is limited by its invasiveness， with increases in technique complexity and the risk of complications in the pediatric population. This article summarizes the definition， classification， pathogenesis， and epidemiological features of PBM and the research advances in current diagnosis and treatment strategies， in order to provide guidance for clinical practice.

Hydrogen-rich water (HRW) shows excellent antibacterial, anti-inflammatory, antioxidant, and wound-healing properties and plays a positive role in the treatment of various diseases, such as brain injury, kidney injury, and periodontitis. Current studies found that HRW can inhibit periodontopathogenic biofilm formation, inhibit oral connective tissue and bone tissue destruction, and show anti-inflammatory and antioxidant properties in periodontitis. Additionally, HRW can alleviate periodontal tissue damage by inhibiting oxidative stress and up-regulating the expression of antioxidant enzymes, such as glutathione peroxidase and superoxide dismutase. HRW exerts anti-inflammatory effects by regulating the nuclear factor erythroid 2-related factor 2 and mitogen-activated protein kinase pathways, which are closely associated with inflammation. Additionally, HRW inhibits the expression of inflammatory cytokines, such as interleukins, inhibits the growth and proliferation of bacterial plaque biofilms, and down-regulates glycosyltransferases and glucan-binding proteins to prevent bacterial adhesion and subsequent development of periodontitis. Furthermore, HRW has a positive effect on the expression of various cell growth factors, α-smooth muscle actin, and type I collagen, which promotes wound healing. Current clinical studies have demonstrated the biological safety of HRW (to a certain extent) and reported no adverse reactions. However, most studies on HRW in oral diseases are preclinical in vivo and in vitro studies. Therefore, further clinical studies are required to validate the therapeutic significance and optimal therapeutic regimen of HRW in human periodontitis. This article aims to review the therapeutic role and the underlying mechanisms of HRW in periodontitis.

BACKGROUND:Currently,there have been studies on three-dimensional digitalization and visualization systems for adult acupoints,but there are not many reports on the visualization of pediatric acupoints based on real pediatric digital sectional anatomical datasets. OBJECTIVE:To design and develop a digital three-dimensional visualization system for children's neck acupoints,to provide a basis for acupuncture and moxibustion,meridian and acupoint science teaching,clinical practice,acupuncture manipulation practice,and acupuncture safety research,and to provide a basis for the development of children's acupoint simulation system. METHODS:Based on a real cross-sectional anatomical dataset of pre-school boys,a three-dimensional digital virtual anatomical model of the neck region of children and internal multi-organ three-dimensional reconstruction were completed using PhotoShop 2021 and Digihuman Reconstruction System software.A database of 11 acupoints was compiled,including Fengfu and Fengchi,using the Unity database language.A three-dimensional model of children's neck anatomy,acupoint database,and writing acupuncture operation codes were integrated in Unity3D software.A three-dimensional digital visualization system for children's neck acupoints was successfully created,which integrated simulation acupoint positioning,three-dimensional acupoint anatomy,acupuncture training,clinical teaching,and acupuncture safety research. RESULTS AND CONCLUSION:(1)This study was based on real child specimens.Manual layer by layer segmentation of cross-sectional images was used to ensure the accuracy of the three-dimensional model to the greatest extent possible.The 3D software Digihuman Reconstruction System was utilized to extract and save independent segmentation data.PhotoShop 2021 software was collaborated with to complete dozens of three-dimensional reconstruction anatomical models of the outer skin of the neck and its internal bone structure,cervical spinal cord,blood vessels and nerves,muscles,and ligaments in children.The basic morphology and overall contour integrity verification of each independent structure were completed in MeshLab software.The 3-material research 13.0 software was applied for final fine tuning and anatomical position confirmation,successfully simulating and restoring the true anatomical morphology of the neck of preschool children.(2)Based on and referring to the national standards of the People's Republic of China,a database of commonly used acupoints in children's neck region was collected and organized,including their names,meridians,positioning,local anatomy,needle insertion levels,acupuncture methods,acupuncture accidents and prevention,acupoint indications,and two-dimensional anatomical sectional images.(3)Unity3D software was employed to integrate the three-dimensional model of children's neck,acupuncture simulation operation,and acupoint database,and a three-dimensional digital children's neck acupoint acupuncture visualization system was successfully constructed.The system displayed information on children's neck acupoints,two-dimensional and three-dimensional anatomical structures,and achieved two-dimensional and three-dimensional acupuncture simulation functions and acupuncture safety research functions for children's neck acupoints.Based on the ultra-thin sectional anatomical dataset of real child specimens,the first three-dimensional digital and visualization system for acupoints in the neck region of children had been constructed.Compared with previous acupoint acupuncture systems,it is more in line with the anatomical and morphological development characteristics of Asian children and has high application value in the fields of acupuncture safety research,clinical teaching,and acupuncture simulation training.

OBJECTIVE To investigate α1-adrenergic receptors(α1-AR)distribution in mouse tissues and its function on dexmetomidine(DMED)induced toxic effects.METHODS ① Real-time fluorescence quantita-tive PCR was used to detect the relative expression of α1A-AR,α1B-AR,α1D-AR,α2A-AR,α2B-AR and α2C-AR mRNAs in the heart,apical potion of heart,lungs,apical potion of lung,liver,kidneys,abdominal aorta,prefrontal cortex,hippocampus,striatum,brainstem,thalamus,olfactory bulb,and the rest of the brain tissues of the mouse.The relative expression of mRNA were analyzed.② C57BL/6J mice were pretreated with α2 adrenergic receptor antagonist atipamezole ATI(0.005,0.010,0.020,0.025,0.040,0.050 mg·kg-1,im),orα1-adrenoceptor antagonist prazosin(1 mg·kg-1,im)for 15 min,and then DMED(0.20 mg·kg-1,iv)was given to observe the rate of the loss of righting reflex and the immobilization time in mice.③ C57BL/6J mice were treated with DMED(16.38,20.48,25.60,32.00,40.00,and 50.00 mg·kg-1,iv)to observe the lethality of the mice in 24 h.The dose-effect relationship curves of the lethality rate and the half lethal-dose(LD50)were detected.ATI(1,2,4,and 8 mg·kg-1,im)or prazosin(1 mg·kg-1,im)were pretreated 15 min followed by the administration of DMED(25.60 mg·kg-1,iv).The lethality of the mice were recorded for 24 h.HE staining to observe the lung tissue damage in the mice.RESULTS ① The mRNA expression levels of three α1-AR subtype were higher than those of α2-AR subtype.α2A-AR and α2C-AR were highly expressed in the central nervous system.α2B-AR was highly expressed in the brainstem and peripheral tissues.The mRNA expres-sion levels of α1-AR subtypes were higher than those of α2-AR subtypes in heart,apical potion of heart or lung(P＜0.05).② ATI(0.005 to 0.05 mg·kg-1,im)dose dependently antagonized the loss of righting reflex and decreased the immobilization time induced by DMED(0.20 mg·kg-1,iv).In contrast,prazosin(1 mg·kg-1,im)had no effect on the loss of righting reflex induced by DMED(0.20 mg·kg-1,iv).③ The LD50 of DMED in mice was 26.734 mg·kg-1(iv)with a 95％Cl of 23.606-30.000 mg·kg-1.DMED(25.6 mg·kg-1)was selected for subsequent toxicity.ATI(1,2,4,and 8 mg·kg-1,im)did not antagonize the lethality induced by DMED(25.6 mg·kg-1,iv).The high dose of ATI resulted in elevated death rate and accelerated mortality induced by DMED(25.6 mg·kg-1,iv)in the mice.However,prazosin(1 mg·kg-1,im)reduced the lethality of DMED(25.6 mg·kg-1,iv)(P＜0.01).After administration of DMED(25.6 mg·kg-1),the mice lungs showed significant congestion.HE staining of lung tissues revealed obvious vascular hemorrhage,alveolar rupture,and erythrocyte spillage.Prazosin(1 mg·kg-1,im)effectively attenuated the tissue damage in the lungs,but ATI(1 mg·kg-1,im)aggravated the pulmonary hemorrhage.CONCLU-SIONS In cardiopulmonary tissues,the high expression levels of α1 adrenoceptor overactivation,might related with the lethality induced by DMED.

Objective To explore the regularity of prescriptions for epidemic disease in Taiping Huimin Heji Ju Fang based on the latent structure model and association rules analysis,and to provide references for modern epidemic treatment.Methods Prescriptions for epidemic diseases were extracted from Taiping Huimin Heji Ju Fang.A high-frequency herb matrix(frequency≥10)was constructed,and high-frequency herbs were analyzed using MicrosoftExcel 2016,Lantern 5.0,and IBM SPSS Modeler 18.0 for efficacy classification,property/flavor/channel tropism statistics,latent structure modeling,and association rule analysis.Results Among the 200 collected herbal prescriptions,46 high-frequency medicinal materials were identified,such as licorice,fresh ginger,dried ginger,poriae,and ginseng.The top 3 drugs efficacy were tonifying deficiency,relieving surface and warming inner.The medicinal properties were mainly warm,and the medicinal flavors were pungent,bitter,and sweet.The meridian tropisms mainly included the spleen meridian,lung meridian and stomach meridian.The analysis of latent structure model suggested that there were 8 types of common symptoms of epidemic disease,such as wind evil attack exterior,wind-cold-dampness,wind-heat,excess-heat in triple energizer,dampness inhibits qi stagnation,yang deficiency,blockage and spleen-qi deficiency.Theanalysis of association rules obtained licorice-ephedra and licorice-atractylodes,which with a core of licorice medicine,and the 16 association rules such as dried ginger-cinnamon,pericarpium citri reticulatae-mangnolia officinalis and poriae-ginseng-atractylodes macrocephala after eliminating ginger,jujube and licorice.Conclusion Most of the medicines used in the treatment of epidemic diseases in Taiping Huimin Heji Ju Fang are pungent,bitter and dispelling evil,the treatment should follow the principle of dispelling evil,warming yang to dissipate cold,dispelling dampness,clearing heat and expelling fire,inducing resuscitation,supporting the right and supplementing deficiency,which embodies the treatment principle of dispelling evil and supporting right,and provides reference and ideas for the treatment of clinical diseases based on syndrome differentiation.

Objective:To investigate the characteristics of brain network reorganization in migraine patients and its relationship with the grading of right-to-left shunt (RLS) in patent foramen ovale(PFO) by integrated 3.0T structural magnetic resonance imaging (MRI),resting-state functional MRI(fMRI),and contrast-enhanced transthoracic echocardiography, thereby toexplore the mechanism underlying cognitive impairment in migraine.Methods:A total of 49 migraine patients (migraine group)and 16 demographically matched healthy subjects (healthy control group) who received diagnosis and treatment at China-Japan Union Hospital of Jilin University from September 2020 to September 2023 were selected as the study participants. Structural images (T1-weighted) and resting-state functional images were obtained from brain imaging (MRI and fMRI) data. The amplitude of low-frequency fluctuation (ALFF) algorithm was used to quantify the intensity of spontaneous neural activity in brain regions, while the Fazekas scale and the Age-Related White Matter Changes (ARWMC) scale were employed to assess white matter lesions. Participants were evaluated using the Mini-Mental State Examination (MMSE). Based on the results of contrast-enhanced transthoracic echocardiography (cTTE),the migraine group was further subdivided into A1 group (18 cases, no PFO), A2 group (17 cases, PFO with small-to-moderate RLS) and A3 group (14 case, PFO with large RLS) group, the differences in brain functional activity and cognitive function were compared among these groups.Results:By Fazekas scale scores and ARWMC scale scores, the incidence of hyperintense foci in the deep white matter regions in the migraine group were higher than those in the healthy control group: 67.3%(33/49) vs. 6/16, 61.2%(30/49) vs. 5/16, there were statistical differences ( P<0.05). Compared with the healthy control group, the migraine group exhibited higher spontaneous neural activity intensity in the brainstem,bilateral posterior cingulate cortex,left medial frontal gyrus,and left middle frontal gyrus,while showing reduced brain activity in the right angular gyrus region. The short-term delayed recall scores and total MMSE scores in the migraine group were lower than thosein the healthy control group: (1.61 ± 1.06) scores vs. (2.44 ± 0.81) scores, (25.06 ± 2.31) scores vs. (27.94 ± 1.44) scores, there were statistical differences ( P<0.05). The short-term delayed recall scores mong the A1 group, A2 group and A3 group had statistical difference( P<0.05). Conclusions:Migraine patients exhibit specific brain functional network reorganization and cognitive dysfunction, which are closely related to the degree of RLS.

Objective:To investigate the patterns of mutation evolution in patients with acute myeloid leukemia (AML) during treatment and the possible clinical significances.Methods:A retrospective case series study was conducted. A total of 103 AML patients who were hospitalized at the Affiliated Yuebei People's Hospital of Medical College of Shantou University from November 2019 to August 2021 and underwent high-throughput next-generation sequencing (NGS) technology to detect the mutations of 128 AML-related genes in bone marrow samples were selected. Based on the NGS results, the somatic gene mutations in samples of patients collected at initial diagnosis (73 cases), complete remission (CR) (30 cases), non-remission (NR) (23 cases), and recurrence (12 cases) were analyzed, and the targeted drugs involved in the gene mutations detected in NR and recurrence samples were summarized.Results:The median age [ M ( Q1, Q3)] of onset for 103 patients was 58 (48, 66) years, including 64 males (61%) and 39 females (39%); 86 cases (83%) were primary AML, and 17 cases (17%) were secondary AML; at the initial diagnosis, 51 cases (50%) had normal karyotypes, 34 cases (33%) had abnormalities, and 18 cases (17.5%) were unknown. Compared with the CR samples, the mutation frequencies of FLT3 [29% (21/73) vs. 3% (1/30)], NPM1 [27% (20/73) vs. 3% (1/30)], NRAS [22% (16/73) vs. 3% (1/30)], and IDH2 [14% (10/73) vs. 0 (0/30)] were all higher in the initial diagnosis samples, and the differences were statistically significant (all P < 0.05); compared with the initial diagnosis sample, the median number of gene mutations in each CR sample was lower [4 (2, 5) vs. 7 (5, 9)], and the difference was statistically significant ( P < 0.001). However, there was no statistically significant difference in the median number of gene mutations in each patient between the initial diagnosis samples and the NR samples, the initial diagnosis samples and the recurrence samples, and the NR samples and the recurrence samples (all P > 0.05). Analysis of 14 patients with NGS data at initial diagnosis and CR showed that the same gene mutations could be detected at initial diagnosis and CR, such as DNAH23 (3 cases), USH2A (3 cases), etc; partial gene mutations were detected at initial diagnosis but were not detected at CR, including NRAS (5 cases), FLT3 (3 cases), ANKRD26 (3 cases), NPM1 (3 cases), ETV6 (3 cases), etc; ARID1B (1 case) and DNMT3A (1 case) were negative for mutations at initial diagnosis but positive upon reaching CR. Analysis of 14 patients with NGS data at initial diagnosis and NR showed that most gene mutations persisted at initial diagnosis and NR, such as DNMT3A (5 cases), NRAS (5 cases), KRAS (3 cases), RUNX1 (3 cases), etc; the mutant genes detected at initial diagnosis but not detected at NR included USH2A (2 cases), PCLO (2 cases), ATM (2 cases), FAT1 (2 cases), etc; partial gene mutations were not detected at initial diagnosis but were detected at NR, such as FAT1 (2 cases), TCF3 (2 cases), etc. Analysis of 5 patients with NGS data at CR and recurrence showed that some gene mutations were detected at both CR and recurrence, such as BCORL1 (1 case), ARID2 (1 case), SETD2 (1 case), VEGFC (1 case), etc; FLT1 (1 case) and GNAS (1 case) gene mutations were detected at CR but not detected at recurrence; at recurrence, some gene mutations that were not detected at CR were also detected, such as ANKRD26 (1 case), WT1 (1 case), etc. Among the 23 NR samples and 12 recurrence samples, the targets of drugs approved by US Food and Drug Administration or in clinical trials were detected in 14 (61%) and 5 (42%) samples respectively, including IDH1, IDH2, FLT3, KIT, KRAS, NRAS, SF3B1, U2AF1, and SRSF2. Conclusions:The number of gene mutations in AML patients during CR is significantly less than that at initial diagnosis, some gene mutations disappear when CR is achieved through treatment, but the majority of gene mutations persist during the treatment period, including NR and recurrence, suggesting that monitoring through NGS technology can help understand the evolution of gene mutations during AML treatment and discover the potential therapeutic targets.

Objective To review the application scope of risk communication based on eHealth technology in the primary prevention of cardiovascular diseases,so as to provide references for future research and application.Methods A systematic search was conducted in PubMed,Cochrane Library,Embase,Web of Science,CINAHL,PsycINFO,CNKI,Wanfang database,and SinoMed.The search time limit was from the establishment of databases to March 1,2024.The included literature was summarized and analyzed.Results A total of 24 articles were included.The forms of eHealth technology applied in risk communication for primary prevention of cardiovascular include online websites,computerized decision support systems,electronic health records,mobile applications,email,telephone,and text messages.The functions include risk assessment,risk notification,personalized advice,risk tracking and reminders.The outcome indicators include risk perception,physiological indicators,lifestyle and behavior,psychological indicators,feasibility evaluation,decision correlation,doctor-patient communication,intention,risk score,and physician drug prescription.Conclusion The use of eHealth technology in risk communication of cardiovascular diseases has potential value in improving patients'risk perception and promoting healthy behaviors.It is necessary to continuously improve the functions of eHealth technology and enhance its precision and intelligence,so as to better meet the needs of medical staff and patients and promote the efficient implementation of primary prevention of cardiovascular diseases.

Mastitis is one of the common and prevalent diseases in dairy cows,and the natural prod-uct daidzein is a kind of natural flavonoids with a wide range of pharmacological and anti-inflam-matory effects.However,the effect of daidzein on mastitis in dairy cows has not been reported.Therefore,in this study,we explored the effects of daidzein on LPS-induced inflammatory response and tight junction damage in dairy mammary epithelial cells Firstly,we pretreated the MAC-T cell line using different concentrations of daidzein,and it was clarified that daidzein below 200 μmol/L had no effect on the cell activity.Next,we examined the production of pro-inflammatory mediators in LPS-stimulated MAC-T cell lines using qRT-PCR,and clarified that daidzein could reduce the production of pro-inflammatory mediators in a concentration-dependent manner.Subsequently,af-ter the expression of Occludin,Claudin3 and ZO-1 was detected by immunofluorescence and West-ern Blot,it was clear that daidzein could alleviate MAC-T cell intercellular tight junction injury.Fi-nally,it was demonstrated that daidzein significantly inhibited LPS-induced activation of the NF-κB signaling pathway within MAC-T using network pharmacological analysis and Western Blot.The above results suggest that daidzein can inhibit LPS-induced inflammatory response and tight junc-tion damage in mammary epithelial cells of cows by suppressing the activation of NF-κB signaling pathway.The present study provides a theoretical basis for the alleviation of mastitis by natural products and further expands the pharmacological effects of daidzein.

Objective:To systematically review the progress in the method development and application of distributed learning in the estimation of epidemiological effect and provide methodological reference for multi-center studies.Methods:We conducted a literature retrieval for English papers published up to December 31, 2023 by using keywords of "health/medical big data" and "distributed/federated learning". After consulting experts, we set criteria of paper inclusion and exclusion and created a framework for data extraction. We collected information about basic study details, including method, application, and evaluation. Two researchers independently screened the papers and extracted information. We used EndNote 20 for the management of literatures and EpiData for the management of data.Results:A total of 3 444 papers were collected, and 29 papers were included in the final analysis. Most of the papers (25, 86.2%) were published in or after 2019, and the papers were mainly from the United States (21/29, 72.4%). For the estimation of epidemiological effects, 22 distributed learning methods had been developed, including methods for logistic regression (8), Cox regression (8), Poisson regression (2), and generalized linear mixed model (GLMM) (4), as well as three platforms for distributed analysis (VLP, Vantage6, AusCAT). The 29 papers described 45 applications, with 20 (44.4%) focusing on the establishment of prediction model and 25 (55.6%) on association analysis. Importantly, except for GLMM, current distributed learning methods can estimate effects with little bias in 1-3 rounds of communication. These methods show less bias compared with meta-analysis, especially in the address of data heterogeneity and rare outcomes. However, less studies examined how differences in data structure and sparse data affect results, an area that requires further research.Conclusion:While distributed learning shows promise in epidemiological effect estimation, it is still in early development, requiring further research on data heterogeneity handling and communication efficiency improvement.