Objective: To investigate the mechanism by which serum amyloid P component (SAP) alleviates periodontitis in mice, providing an experimental basis to establish SAP as a novel therapeutic agent for periodontitis. Methods: Ethical approval was obtained from the Institutional Animal Ethics Committee. Periodontitis models were established in wild-type (WT) mice and SAP-transgenic (SAP-Tg) mice, divided into four groups: WT control (WT group), WT periodontitis (WT+P group), SAP-Tg control (Tg group), and SAP-Tg periodontitis (Tg+P group). On day 7, the mice were euthanized, and periodontal tissues, teeth, and alveolar bone were collected. SAP protein expression was detected by enzyme-linked immunosorbent assay (ELISA). Micro-CT and HE staining were used to measure alveolar bone resorption (distance from the cementoenamel junction to the alveolar bone crest). Tartrate-resistant acid phosphatase (TRAP) staining was performed to assess osteoclast number, and immunohistochemistry (IHC) was employed to evaluate macrophage infiltration. The expression levels of inflammatory cytokines including interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α) were measured by qRT-PCR. Oral microorganism composition was analyzed using 16S ribosomal RNA (16S rRNA) gene sequencing. Additionally, macrophages from WT and SAP-Tg mice were isolated to establish an in vitro inflammation model, divided into WT+LPS and Tg+LPS groups. The expression of macrophage polarization-related genes including inducible nitric oxide synthase (iNOS), CD86, CD163, and CD206) were assessed by qRT-PCR. After the induction of osteoclast differentiation, TRAP staining was performed. Results: ELISA results demonstrated that periodontal tissues from Tg+P group mice exhibited higher levels of SAP expression compared to the WT+P group. Micro-CT and HE staining analyses revealed that the Tg+P group showed reduced alveolar bone resorption, indicated by a shorter distance between the cementoenamel junction and alveolar bone crest, compared to the WT+P group. Furthermore, TRAP staining results indicated a decrease in osteoclast numbers in the Tg+P group compared to the WT+P group. IHC and qRT-PCR results indicated reduced macrophage infiltration and decreased expression of IL-1β, IL-6, and TNF-α in the Tg+P group. Oral microorganism sequencing showed no significant difference in periodontitis-associated pathogenic bacteria between WT+P and Tg+P groups. In vitro experiments demonstrated that compared to the WT+LPS group, the Tg+LPS group exhibited downregulated M1 macrophage markers (iNOS and CD86) and upregulated M2 macrophage markers (CD163 and CD206). TRAP staining confirmed fewer osteoclasts in the Tg+LPS group. Conclusion SAP overexpression effectively alleviates periodontitis severity in mice by inhibiting M1 macrophage polarization, reducing pro-inflammatory cytokine expression, and suppressing osteoclast differentiation, thereby attenuating alveolar bone resorption.

Objective: To investigate the clinical characteristics, the types of unexpected antibodies, and their impacts on immunological risks among patients with different frequencies of cross-matching incompatibility, so as to propose corresponding solutions. Methods: Data of cross-matching incompatibility samples from 92 medical institutions during 2022 to 2024 were collected and divided into three groups based on the frequency of cross-matching. Statistical analysis was performed on disease types, distribution of hematologic diseases, alloantibody detection rates, and proportions of alloantibody types. Results: The 858 patients were divided into three groups based on the frequency of blood cross-matching incompatibility: ≥5 times (8.28%, 71/858), 2 to 4 times (28.21%, 242/858); 1 time (63.52%, 545/858). There was a clustered distribution of disease types in the ≥5 cross-matchings group, with 71.83% (51/71) of patients having tumors or hematologic and hematopoietic diseases. In contrast, the disease types in the 2 to 4 cross-matchings and 1 cross-matching groups were more diverse. An analysis of 249 patients with hematologic diseases found that multiple myeloma was the most common disease in all three groups, accounting for 31.43% (11/35), 35.37% (29/82), and 37.88% (50/132) respectively. In the ≥5 cross-matchings group, myelodysplastic syndrome (14.29%, 5/35) and thalassemia (14.29%, 5/35) were the second most common diseases. In contrast, in the 2 to 4 cross-matchings group and 1 cross-matching group, autoimmune hemolytic anemia was the second most common disease, with prevalence rates of 20.73% (17/82) and 24.24% (32/132), respectively. Alloantibodies were detected in 54.66% of the patients, with antibodies against Rh blood group being most frequent (>50%) in all three groups. The detection rates of alloantibodies/alloantibodies with coexisting autoantibodies decreased across groups: the ≥5 cross-matchings group (70.42%, 50/71) > the 2 to 4 cross-matchings group (54.96%, 133/242) > the 1 cross-matching group (52.48%, 286/545). Conclusion: The risk of alloantibody production increases in patients with multiple cross-matching incompatibilities, especially in those with tumors or hematologic diseases. For handling of cross-matching incompatibility cases, it is recommended to optimize the cross-matching process, implement individualized transfusion plans, and enhance the technical capabilities of clinical transfusion departments and blood group reference laboratories to ensure the safety and effectiveness of transfusions.

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 construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

ObjectiveTo investigate the impact of acute respiratory infections in children under 12 years old in Pudong New Area， Shanghai from 2019 to 2023. MethodsAcute respiratory infection samples of children under 12 years old from three sentinel hospitals in Pudong New Area， Shanghai from 2019 to 2023 were collected， and 42 respiratory infection pathogens， including influenza virus， adenovirus， parainfluenza virus， respiratory syncytial virus， human enterovirus/rhinovirus， human pulmonary virus， human bokavirus， coronavirus （229E， HKU1， NL63 and OC43）， and novel coronavirus， were detected with microfluidic chips. The situation of acute respiratory infections among outpatient and inpatient children in this area was analyzed for the before the implementation of non pharmacological intervention measures （2019.12‒2020.1）， during the period of non pharmacological intervention measures （2020.2‒2022.12）， and after non pharmacological intervention measures （2023.1‒2023.6）. ResultsFrom 2019 to 2023， a total of 1 770 samples were collected， and 445 pathogens were detected， with a detection rate of 25.14% （445/1 770）. The main pathogens detected during the study period were influenza virus： 8.70% （154/1 770）， respiratory syncytial virus： 4.41% （78/1 770）， human enterovirus/rhinovirus： 2.66% （47/1 770）， human adenovirus： 2.49% （44/1 770）， and parainfluenza virus： 2.20% （39/1 770）. Before the implementation of non pharmacological intervention measures， outpatients were primarily infected with influenza， parainfluenza virus， and respiratory syncytial virus， with detection rates of 8.09%， 4.49%， and 4.04%， respectively； inpatients were mainly infected with influenza， respiratory syncytial virus， and parainfluenza virus， with detection rates of 4.49%， 3.82%， and 3.15%， respectively. During the period of non pharmacological intervention measures， influenza， rhinovirus and respiratory syncytial virus were the main viruses detected in the samples of outpatient children， with detection rates of 4.04%， 3.60%， and 2.47%， respectively； inpatient samples mainly detected respiratory syncytial virus， rhinovirus， and influenza virus， with detection rates of 3.60%， 2.02%， and 1.80%， respectively. After non pharmacological intervention measures， influenza， rhinovirus and respiratory syncytial virus were the main pathogens detected in the outpatients， with detection rates of 9.89%， 2.92% and 2.02%， respectively； influenza， respiratory syncytial virus， and rhinovirus were the main pathogens detected in inpatient children， with detection rates of 6.29%， 1.57%， and 1.35%， respectively. ConclusionThe prevalence of pathogens related to acute respiratory infections in children is influenced by non pharmacological preventive measures.

Objective:To analyze the immune reconstitution after BTKi treatment in patients with chronic lymphocytic leukemia(CLL).Methods:The clinical and laboratorial data of 59 CLL patients admitted from January 2017 to March 2022 in Fujian Medical University Union Hospital were collected and analyzed retrospectively.Results:The median age of 59 CLL patients was 60.5(36-78).After one year of BTKi treatment,the CLL clones(CD5+/CD19+)of 51 cases(86.4％)were significantly reduced,in which the number of cloned-B cells decreased significantly from(46±6.1)× 109/L to(2.3±0.4)× 109/L(P=0.0013).But there was no significant change in the number of non-cloned B cells(CD19+minus CD5+/CD19+).After BTKi treatment,IgA increased significantly from(0.75±0.09)g/L to(1.31±0.1)g/L(P＜0.001),while IgG and IgM decreased from(8.1±0.2)g/L and(0.52±0.6)g/L to(7.1±0.1)g/L and(0.47±0.1)g/L,respectively(P＜0.001,P=0.002).BTKi treatment resulted in a significant change in T cell subpopulation of CLL patients,which manifested as both a decrease in total number of T cells from(2.1±0.1)× 109/L to(1.6±0.4)× 109/L and NK/T cells from(0.11±0.1)× 109/L to(0.07±0.01)× 109/L(P=0.042,P=0.038),both an increase in number of CD4+cells from(0.15±6.1)× 109/L to(0.19±0.4)× 109/L and CD8+cells from(0.27±0.01)× 109/L to(0.41±0.08)× 109/L(both P＜0.001).BTKi treatment also up-regulated the expression of interleukin(IL)-2 while down-regulated IL-4 and interferon(IFN)-γ.However,the expression of IL-6,IL-10,and tumor necrosis factor(TNF)-α did not change significantly.BTKi treatment could also restored the diversity of TCR and BCR in CLL patients,especially obviously in those patients with complete remission(CR)than those with partial remission(PR).Before and after BTKi treatment,Shannon index of TCR in patients with CR was 0.02±0.008 and 0.14±0.001(P＜0.001),while in patients with PR was 0.01±0.03 and 0.05±0.02(P＞0.05),respectively.Shannon index of BCR in patients with CR was 0.19±0.003 and 0.33±0.15(P＜0.001),while in patients with PR was 0.15±0.009 and 0.23±0.18(P＜0.05),respectively.Conclusions:BTKi treatment can shrink the clone size in CLL patients,promote the expression of IgA,increase the number of functional T cells,and regulate the secretion of cytokines such as IL-2,IL-4,and IFN-γ.BTKi also promote the recovery of diversity of TCR and BCR.BTKi treatment contributes to the reconstitution of immune function in CLL patients.

Aim To investigate the mechanisms of Chaijin JieYu Anshen formula modulating the depres-sive behaviors and the synaptic plasticity of hippocam-pal neurons in insomnia-concomitant depression rats based on the histone deacetylase 5(HDAC5)/myocyte enhancer factor 2C(MEF2C)pathway.Methods A rat model of insomnia-concomitant depression was es-tablished by PCPA injection combined with chronic un-predictable mild stress(CUMS),and the experiment was divided into the control group,the model group,the high,medium and low dose group of Chaijin JieYu Anshen formula,and the positive drug group.The de-pression of rats was evaluated by sugar-water prefer-ence test,open field test and morris water maze.The levels of 5-hydroxytryptamine(5-HT)and dopamine(DA)in serum were measured by enzyme linked im-munosorbent assay(ELISA).The pathological damage of hippocampal neurons was observed by HE staining and Nissl staining.The damage of dendritic spines of hippocampal neurons was observed by Golgi staining,and the levels of HDAC5,MEF2C,postsynaptic densi-ty-95(PSD-95)and synaptophysin 1(SYN1)in hip-pocampus were measured by Western blot,immunohis-tochemistry and immunofluorescence.Results Com-pared with the model group,the Chaijin JieYu Anshen formula could increase the sugar-water preference rate of the model rats,reduce the immobility time in the open field experiment,increase the total activity dis-tance,shorten the evasion latency in the localization navigation experiment,and prolong the residence time in the quadrant where the platform was located in the space exploration experiment(P＜0.05,P＜0.01).Moreover,the Chaijin JieYu Anshen formula improved the hippocampal neuron and dendritic spine damage and increase the dendritic branch length and dendritic spine density of hippocampal neurons(P＜0.01,P＜0.01),restore the serum levels of 5-HT and DA in insomnia-concomitant depression rats(P＜0.05,P＜0.01),down-regulate the HDAC5 protein,and up-regulate the expression of MEF2C,PSD-95,and SYN1 protein(P＜0.05,P＜0.01 or P＜0.001).Conclusions Chaijin JieYu Anshen formula may alle-viate the depression-like behavior of model rats by re-ducing the expression of HDAC5 protein,thus deregu-lating the inhibition of transcription factor MEF2C,promoting the expression of PSD-95 and SNY1 protein,and exerting a protective effect on hippocampal neurons and synapses.

Objective To systematically review the incidence and influencing factors of refeeding syndrome(RFS)in critically ill patients,and provide references for early identification of RFS and formulation of preventive measures.Methods Computerized searches were conducted for studies on RFS in critically ill patients in the databases of China National Knowledge Infrastructure(CNKI),Wanfang,VIP,CBM,PubMed,Embase,Web of Science,CINAHL,Cochrane Library from inception to May 29th,2024.Data analysis was performed using Stata 16.0 software.Results A total of 29 articles with 5 720 participants were included.The Meta-analysis showed that the incidence of RFS in critically ill patients was 33.68％.The subgroup analysis showed that the incidence of RFS in critically ill patients was higher in studies conducted in 2020 or later(38.22％),in the Americas(36.39％),and with only electrolyte changes as the diagnostic basis(37.51％).Risk factors for RFS in critically ill patients included higher acute physiological and chronic health evaluation Ⅱ scores(OR=1.41),higher sequential organ failure assessment scores(OR=1.29),initiation of feeding within 48 h of ICU admission(OR=3.36),age ≥60 years(OR＝2.82),diabetes mellitus(OR=3.53),pre-albumin concentration＜150 g/L(OR=5.53),albumin concentration＜30 g/L(OR=3.26),caloric intake＞25％standard calories(OR=2.86),enteral solution temperature of 36～38 ℃(OR=2.32),feeding rate＞50 ml/h(OR=3.76),fasting time ≥2 d before feeding(OR=2.46),history of alcoholism(OR=2.64).Conclusion The incidence of RFS in critically ill patients is high and there are many influencing factors.Nurses should improve their awareness and attention to RFS,accurately identify high-risk groups and risk factors,and adopt a multidisciplinary collaborative model to develop whole-course,detailed and personalized intervention measures to prevent RFS.

Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8％(62 219/261 893),and gram-negative bacteria 76.2％(199 674/261 893).The most common species were E.coli(46.7％),E.faecium(10.4％),K.pneumoniae(9.8％),E.faecalis(8.7％),P.mirabilis(3.5％),P.aeruginosa(3.4％),SS.agalactiae(2.6％),and E.cloacae(2.1％).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2％,52.8％and 37.0％,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7％,18.5％,16.4％,and 40.3％,respectively.Lower than 10％of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90％of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was＜2％.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.

Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7％)and Enterococcus faecalis(41.5％).The strains were mainly isolated from urinary tract specimens(46.9％±2.6％),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6％).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1％and 1.3％,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7％in 2015 to 3.4％in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3％.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.