The connotation of "treat heat with cold" and "disperse fire constraint" differs， and under the guidance of these two principles， there are variations in the selection of acupoints， choice of needles， and manipulation techniques in clinical acupuncture. "Treat heat with cold" is used to clear and drain heat pathogens， while "disperse fire constraint" focuses on diffusing and dissipating fire from constraint. When both fire constraint and internal heat coexist， treatment should combine both "dispersing the fire" and "cooling the heat". In clinical acupuncture， for clearing heat and draining heat pathogens， acupoints on Governor vessel （督脉） and Yangming （阳明经） channel are commonly selected， with Jing-well points， Ying-spring points and He-sea points. To diffuse and dissipate fire constraint， acupoints on the Taiyang （太阳） and Shaoyang （少阳） channels are usually chosen， with Jing-river points and Ashi points as the primary options. In terms of needle choice， for heat syndrome， filiform needles， three-edged needles， and cupping are often used for clearing heat and resolving toxins； for fire constraint syndrome， moxibustion and fire needles are employed to expel fire from the body. Regarding manipulation techniques， draining method can be used in both conditions， with heat syndrome requiring shallow needling and quick removal， while fire constraint syndrome requiring deeper and longer retention of needles， having an emphasis on hand pressure coordination and smooth qi flow. In clinical practice， it is essential to distinguish the presence of "constraint" and the depth of the disease location to appropriately combine "dispersing fire" and "cooling heat".

OBJECTIVE To identify the quality markers （Q-Markers） of Hyssopus cuspidatus against airway remodeling in bronchial asthma （referred to as “asthma”）， an d to provide a reference for the quality control research of H. cuspidatus based on pharmacodynamic activity. METHODS Potential active components and action targets of H. cuspidatus were screened by network pharmacology method. Using human airway smooth muscle cells （HASMCs） as objects， airway remodeling cell model was induced by platelet-derived growth factor-BB （PDGF-BB）； validation test was then performed for anti-asthmatic effects of H. cuspidatus and the potential active components. HPLC method was employed to establish the fingerprints of 14 batches of H. cuspidatus samples， and chemometric analysis was also conducted. Combined with the results of pharmacodynamic experiments and fingerprint analysis， the Q-Markers of H. cuspidatus against airway remodeling in asthma were determined. RESULTS&CONCLUSIONS Network pharmacology analysis showed that the potential active components of H. cuspidatus against asthma might be flavonoids and phenolic acids such as luteolin， quercetin and rosmarinic acid， and the core anti-asthmatic targets were interleukin-6， mitogen-activated protein kinase， etc. In vitro experimental results confirmed that 25， 50， 100 μg/mL of H. cuspidatus ， as well as neochlorogenic acid （80 μmol/L）， acacetin （80 μmol/L）， salvianolic acid B （40 μmol/L） and quercetin-3- O - β -D-glucuronide （80 μmol/L）， significantly reduced the cell viability induced by PDGF-BB， inhibited cell proliferation， migration， and the phosphorylation level of extracellular signal-regulated protein kinase 1/2， decreased the levels of interleukin-6， tumor necrosis factor-α and reactive oxygen species， and generally arrested cells in the G 0 /G 1 phase （ P ＜0.05）. Fingerprint analysis showed that there were 27 common peaks in the fingerprints of the 14 batches of H. cuspidatus samples， with 15 compounds （including luteolin） identified， and the similarities of fingerprints were all greater than 0.8. The 14 batches of samples could be divided into three categories： S1-S7 as one category， S8-S13 as one category， and S14 as one category. The variable importance in the projection values of rosmarinic acid， chlorogenic acid， caffeic acid， salvigenin， luteolin， ferulic acid， quercetin-3- O - β -D-glucuronide， and the components corresponding to peaks 5 and 8 were greater than 1， indicating they were potential differential markers affecting quality. Integrating network pharmacology， in vitro experimental validation， and chemometric analysis， rosmarinic acid， neochlorogenic acid， caffeic acid， salvigenin， luteolin， ferulic acid， quercetin-3- O - β -D-glucuronide， acacetin， salvianolic acid B and chlorogenic acid may be the Q-Markers of H. cuspidatus against asthma.

Objective To investigate the distribution characteristics of pathogens causing infections within 90 days after liver transplantation and the influencing factors of infection. Methods Clinical data of 176 recipients who underwent liver transplantation at the Liver Transplant Center of Beijing Friendship Hospital Affiliated to Capital Medical University from September 2021 to August 2024 were retrospectively analyzed. Patients were divided into the infection group (n=124) and the non-infection group (n=52) based on whether they developed infection within 90 days after transplantation. The distribution characteristics of pathogens in infected patients were analyzed. Univariate and multivariate logistic regression analyses were used to explore the influencing factors of infection. Results Among the 176 liver transplant recipients, 124 cases developed 243 episodes of 518 bacterial, fungal, viral or mycoplasma infections within 90 days after transplantation, with an overall infection rate of 70.5% (124/176). The composition of pathogens was mainly Gram-negative bacteria (38.6%, 200/518), followed by Gram-positive bacteria (32.2%, 167/518) and viruses (15.4%, 80/518), and fungi accounted for 13.1% (68/518). Among Gram-negative bacteria, the main pathogen was Klebsiella pneumoniae (6.8%, 35/518), and among Gram-positive bacteria, the main pathogen was Enterococcus faecalis (8.5%, 44/518). Viruses included Epstein-Barr virus (3.7%, 19/518) and cytomegalovirus (3.7%, 19/518), and fungi were mainly Candida albicans (6.8%, 35/518). The most common infection site among the 243 episodes was pulmonary infection (42.0%, 102/243), followed by abdominal infection (22.6%, 55/243) and bloodstream infection (18.1%, 44/243). The infections mainly occurred within 2 weeks after transplantation (60.9%, 148/243). Multivariate logistic regression analysis indicated that preoperative infection within 2 weeks, a high preoperative model for end-stage liver disease (MELD) score, and preoperative sarcopenia were independent risk factors for infection within 90 days after liver transplantation (all odds ratio>1, P<0.05). After multivariate correction, the levels of CD4⁺T cells and CD8⁺T cells within 90 days after surgery were independently associated with the occurrence of infection. Low levels of CD4⁺T cells and CD8⁺T cells might be related to an increased risk of infection. Conclusions The infection rate after liver transplantation is high, and the pathogens are mainly Gram-negative bacteria. The lungs are the most common infection site. Preoperative MELD score, preoperative sarcopenia and preoperative infection within 2 weeks are independent risk factors for infection within 90 days after liver transplantation. Regular monitoring of immune indicators CD4⁺T cells and CD8⁺T cells levels after transplantation is helpful to reduce the occurrence of post-transplantation infection.

ObjectiveTo explore the 28-day mortality risk of Klebsiella pneumoniae (KP) bloodstream infections (BSI) and its related influencing factors, thereby providing a scientific basis for the effective control of KP-BSI and improvement of patient prognosis. MethodsFrom January 2018 to December 2024, a retrospective review was conducted on hospitalized patients aged >18 years old treated for KP-BSI at a tertiary hospital in Hangzhou. Logistic and Cox regression analyses were performed to identify the epidemiological characteristics and the risk factors for the 28-day mortality associated with KP-BSI. ResultsA total of 123 patients with KP-BSI were included in this study, comprising 64 cases infected with carbapenem-resistant Klebsiella pneumoniae (CRKP) and 59 cases infected with carbapenem-susceptible Klebsiella pneumoniae (CSKP). Compared with CSKP-BSI, patients with CRKP-BSI more frequently presented with chronic pulmonary disease (χ²=4.29, P=0.038), concomitant infections at other sites (χ²=10.90, P=0.001), and a higher frequency of invasive procedures prior to infection (central venous catheterization, mechanical ventilation, and indwelling urinary catheter), as well as glucocorticoid use, hemodialysis, and blood transfusion (all P<0.05). The 28-day mortality was significantly higher in BSI cases caused by CRKP compared to that caused by CSKP (37.50% vs 5.08%, P<0.001). Cox regression analyses revealed that carbapenem resistance (HR=6.67, 95%CI: 1.48‒30.08, P=0.014) and blood transfusion (HR=3.58, 95%CI: 1.15‒11.19, P=0.028) were risk factors for the 28-day mortality in KP-BSI, while removal of central venous catheters after infection (HR=0.24, 95%CI: 0.08‒0.67, P=0.006) was associated with a reduced risk for the 28-day mortality. ConclusionCarbapenem resistance is associated with mortality outcomes in patients with KP-BSI. Strengthening infection control measures targeting the identified risk factors for CRKP-BSI may improve patient prognosis.

[Objective] To investigate the seroprevalence characteristics of hepatitis E virus (HEV) among blood donors with hepatitis B virus (HBV) infection, so as to provide data support for the monitoring, prevention and treatment of HEV. [Methods] From January to December 2022, 219 samples positive for hepatitis B surface antigen (HBsAg), 142 occult hepatitis B virus infection (OBI) samples (HBV group) and 873 samples tested negative (control group) were collected. 361 samples were further tested with viral load assay and serological testing for five serological markers (HBsAg, HBsAb, HBeAg, HBeAb and HBcAb), and the DNA load was measured using real time fluorescence quantitative PCR. Commercially available enzyme-linked immunosorbent assays (ELISA) were used for the detection of anti-HEV IgG, anti-HEV IgM and HEV antigen (Ag). The Chi-square test or Fisher's exact test was used to assess the differences in the reactivity rates of anti-HEV IgG and anti-HEV IgM among different blood donor populations and different variables. Multivariable logistic regression was used to examine potential risk factors associated with anti-HEV IgG seroprevalence. [Results] In the HBV group, HBsAg positive donors exhibited low expression of antigen. The HBV DNA load of OBI infected donors ranged from 1 to 131.43 IU/mL (median 11.24 IU/mL). The prevalence of anti-HEV IgG and IgM antibody in the HBV group were 34.63% and 1.11%, respectively. Among them, the prevalence of anti-HEV IgG and anti-HEV IgM in the HBV group was 34.63% and 0, respectively (P<0.05), while in the OBI donors, they were 41.55% and 2.82%, respectively. In the normal donors, the reactivity rates for anti-HEV IgG and anti-HEV IgM were 18.67% and 1.49%, respectively. Statistical analysis showed that there was a difference in the reactivity rate of anti-HEV IgG between the HBV-infected donors and the normal donors (34.63% vs 18.67%, P<0.05), but no difference in the reactivity rate of anti-HEV IgM (1.11% vs 1.49%, P>0.05). No HEV Ag was detected in either group of blood donors. Multivariate logistic regression analysis indicated that age was an independent risk factor for anti-HEV IgG reactivity in both groups of blood donors. [Conclusion] The reactivity rate of anti-HEV IgG among HBV-infected blood donors was significantly higher than that in the normal donors in Wuhan, with age being an independent risk factor. Therefore, for HBV-infected donors, it is essential to strengthen and prioritize the prevention and treatment of HEV to reduce the spread of HEV.

During orthodontic treatment, clinical monitoring of patients is a crucial factor in determining treatment success. It aids in timely problem detection and resolution, ensuring adherence to the intended treatment plan. In recent years, digital technology has increasingly permeated orthodontic clinical diagnosis and treatment, facilitating clinical decision-making, treatment planning, and follow-up monitoring. This review summarizes recent advancements in digital technology for monitoring orthodontic tooth movement, related complications, and appliance-wearing compliance. It aims to provide insights for researchers and clinicians to enhance the application of digital technology in orthodontics, improve treatment outcomes, and optimize patient experience. The digitization of diagnostic data and the visualization of dental models make chair-side follow-up monitoring more convenient, accurate, and efficient. At the same time, the emergence of remote monitoring technology allows orthodontists to promptly identify oral health issues in patients and take corresponding measures. Furthermore, the multimodal data fusion method offers valuable insights into the monitoring of the root-alveolar relationship. Artificial intelligence technology has made initial strides in automating the identification of orthodontic tooth movement, associated complications, and patient compliance evaluation. Sensors are effective tools for monitoring patient adherence and providing data-driven support for clinical decision-making. The application of digital technology in orthodontic monitoring holds great promise. However, challenges like technical bottlenecks, ethical considerations, and patient acceptance remain.

BackgroundAttention deficit hyperactivity disorder （ADHD） is a neurodevelopmental disorder characterized by age-inappropriate inattention， excessive activities incongruous with setting， and emotional impulsivity. Subthreshold ADHD （sADHD） is clinically defined as the presence of ADHD symptoms that do not meet the full diagnostic criteria for ADHD. Children with sADHD exhibit deficits in executive function， demonstrate more conduct， learning， and anxiety-related problems compared to typically developing children， and show even poorer working memory performance than children diagnosed with ADHD. Currently， there is limited epidemiological research on sADHD in China， with few studies simultaneously investigating the prevalence of both ADHD and sADHD in children. ObjectiveTo investigate the prevalence of ADHD and sADHD among children aged 6–13 years in Chongqing， analyzing their distribution characteristics within this population， with the aim of providing references for developing preventive measures against both ADHD and sADHD. MethodsFrom October to November 2023， a total of 3 398 students in grades 1–6 from six primary schools in Jiangbei District， Chongqing were selected using a stratified cluster random sampling method. The occurrence of ADHD and sADHD was evaluated by using the short version （18-item version） of the Swanson， Nolan， and Pelham IV rating scales （SNAP-IV） and the Chinese vision of Schedule for Affective Disorder and Schizophrenia for School-aged Children-Present and Lifetime Version （K-SADS-PL）. ResultsThe ADHD detection rate among children in Chongqing was 1.90% （95% CI： 0.014–0.024）. Boys showed a significantly higher ADHD detection rate than girls （χ²=7.733， P=0.005）. No statistically significant differences were found in ADHD detection rates across different grades or age groups （χ²=7.347， 12.362， P>0.05）. The sADHD detection rate was 6.32% （95% CI： 0.054–0.072）. Similarly， boys exhibited significantly higher sADHD detection rates than girls （χ²=21.005， P<0.01）. Significant differences emerged across different grades （χ²=20.559， P=0.001）， while no statistically significant difference was observed in age groups （χ²=12.070， P=0.060）. ConclusionThe ADHD detection rates were comparable across all grade levels and age groups from 6–13 years old. Second-grade children demonstrated notably higher sADHD rates compared to other grades， while boys demonstrated higher prevalence rates than girls for both ADHD and sADHD. ［Funded by Science and Health Joint Medical Research Project in Jiangbei District， Chongqing City in the Second Half of 2023 （number， 2023JBKWLH022）］

Background::B-cell maturation antigen (BCMA)-directed chimeric antigen receptor T (CAR-T) therapy yield remarkable responses in patients with relapsed/refractory multiple myeloma (R/RMM). Circulating tumor DNA (ctDNA) reportedly exhibits distinct advantages in addressing the challenges posed by tumor heterogeneity in the distribution and genetic variations in R/RMM.Methods::Herein, the ctDNA of 108 peripheral blood plasma samples from patients with R/RMM at the First Affiliated Hospital, School of Medicine, Zhejiang University was thoroughly investigated before administration of anti-BCMA CAR-T therapy to establish its predictive potential. Flow cytometry is used primarily to detect subgroups of T cells or CAR-T cells.Results::In this study, several tumor and T cell effector-mediated factors were considered to be related to treatment failure by an integrat analysis, including higher percentages of multiple myeloma (MM) cells in the bone marrow ( P = 0.0125), lower percentages of CAR-T cells in the peripheral blood at peak ( P = 0.0375), and higher percentages of CD8 + T cells ( P = 0.0340). Furthermore, there is a substantial correlation between high ctDNA level (>143 ng/mL) and shorter progression-free survival (PFS) ( P = 0.007). Multivariate Cox regression analysis showed that high levels of ctDNA (>143 ng/mL), MM-driven high-risk mutations (including IGLL5 [ P = 0.004], IRF4 [ P = 0.024], and CREBBP [ P = 0.041]), number of multisite mutations, and resistance-related mutation ( ERBB4, P = 0.040) were independent risk factors for PFS. Conclusion::Finally, a ctDNA-based risk model was built based on the above independent risk factors, which serves as an adjunct non-invasive measure of substantial tumor burden and a prognostic genetic feature that can assist in predicting the response to anti-BCMA CAR-T therapy.

Advancements in artificial intelligence(AI)and emerging technologies are rapidly expanding the exploration of chemical space,facilitating innovative drug discovery.However,the transformation of novel compounds into safe and effective drugs remains a lengthy,high-risk,and costly process.Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development.Despite this need,no comprehensive tool currently supports systematic evaluation and efficient screening.Here,we present druglikeFilter,a deep learning-based framework designed to assess drug-likeness across four critical dimensions:1)physicochemical rule evaluated by systematic determination,2)toxicity alert investigated from multiple perspectives,3)binding affinity measured by dual-path analysis,and 4)compound synthesizability assessed by retro-route prediction.By enabling automated,multidimensional filtering of compound libraries,druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates,which can be freely accessed at https://idrblab.org/drugfilter/.

Objective:To explore the effect of ultrasound bone knife combined with high-speed gas turbine method in mandibular impacted third molar extraction surgery,and conduct relevant analysis for bleeding situation.Methods:A total of 152 patients who underwent mandibular impacted third molar extraction surgery at Beijing First Hospital of Integrated Traditional Chinese and Western Medicine from April 2023 to April 2024 were retrospectively selected.They were divided into an observation group and a control group based on the different types of used instruments during the operation,with 76 cases in each group.The observation group used ultrasound bone knife combined with high-speed gas turbine method,while the control group only used high-speed gas turbine.The general information,incidence of intraoperative complications,surgical time,visual analogue scale(VAS)for pain assessment,degree of alveolar damage,patient's satisfaction,the number of patients with postoperative complications,intraoperative bleeding volume,postoperative bleeding time,and hemostatic effect were compared between two groups.Results:The incidence of complications included loosening of adjacent tooth,fracture or displacement of adjacent tooth,root fracture,and fracture of lingual bone plate in the observation group was 11.84%,which was lower than 23.68%in the control group,and the difference was statistically significant(x2=3.958,P＜0.05).Both the surgical time and VAS score of the observation group were lower than those of the control group(t=-7.875,-3.222,P＜0.05),and the degree of alveolar damage and the number of patients with postoperative complications in the observation group were significantly lower than those in the control group,with statistically significant differences(t=-6.500,x2=4.417,P＜0.05).The average score of patients'treatment satisfaction in the observation group was significantly higher than that in the control group(t=4.242,P＜0.05).Both the intraoperatively blooding loss and the time of postoperative bleeding in the observation group were significantly lower than those in the control group(t=-3.636,-9.191,P＜0.001),and the score of hemostasis effect in the observation group was also better than that in the control group(t=11.744,P＜0.001).Conclusion:The effect of ultrasound bone knife combined with high-speed gas turbine method is better for mandibular impacted third molar extraction surgery,which performance is better in the amount of intraoperative bleeding loss,the time of postoperative bleeding,and hemostatic effect.