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.

Background Cooking oil fumes are closely related to immune response, and adipose tissue also plays an important role in immune regulation. At present, the biological effect and mechanism of inflammation of adipose tissue induced by oil fume exposure are not clear yet. Objective To investigate the inflammatory effect of different exposure duration of cooking fumes on adipose tissue in mice and explore the role of Nod-like receptor pyrin domain 3 (NLRP3)/cysteinyl aspartate specific proteinase 1 (Caspase 1)/interleukin (IL)-1β signaling pathway. Methods Forty 8-week-old female C57BL/6J mice were randomly divided into 3-day control group (CON₃ group), 7-day control group (CON₇ group), 3-day oil fume exposure group (COF₃ group), and 7-day oil fume exposure group (COF₇ group), with 10 mice in each group. The mice were exposed to oil fumes in a cooking oil fume formation and exposure equipment (COFFEE) for 20 min, followed by a 10-min pause, 1 h a day for consecutive 3 d or 7 d. General condition of mice was observed and body weight was measured every day. After exposure, blood was sampled from the eyeball. Serum levels of IL-6, IL-27, and IL-1β were detected by enzyme-linked immunosorbent assay (ELISA). The adipose tissue of mice was collected and observed after hematoxylin-eosin (HE) staining. The percentages of CD4⁺ and CD8⁺T cells in adipose tissue were detected by flow cytometry. Real-time quantitative PCR (RT-qPCR) was used to detect the expression levels of nuclear factor-κB (NF-κB), NLRP3, Caspase 1, and IL-1β in adipose tissue. Western blot was used to detect the expression levels of NLRP3, Caspase 1, and IL-1β in adipose. Results Compared with the corresponding control group, serum IL-6, IL-27, and IL-1β contents in the COF₃ group and the COF₇ group were significantly increased (P<0.05) except IL-6 in the COF₃ group, and the levels in the COF₇ group were significantly higher than those in the COF₃ group (P<0.05). Vacuolar lipid droplets in adipocytes decreased, cytoplasm shrank, and inflammatory cells infiltrated in the COF₇ group after HE staining. The flow cytometry results showed that the proportions of CD4⁺ and CD8⁺T cells in adipocytes of the COF₃ group and the COF₇ group were increased compared to the corresponding control group, with a significant increase in the COF₇ group (P<0.05), and the CD4⁺/CD8⁺T ratio also significantly increased progressively in the two groups (P<0.05). The results of RT-qPCR showed that compared with the corresponding control group, the mRNA expression levels of NF-κB, NLRP3, Caspase 1, and IL-1β in adipose tissue of mice in the COF₃ group and the COF₇ group were significantly increased (P<0.05, P<0.01). The mRNA expression levels of mice in each exposure group gradually increased over time. The Western blot results showed that compared with the corresponding control group, the protein expressions of NLRP3 and Caspase 1 in the COF₃ group were significantly increased (P<0.01), and the expression of IL-1β protein also increased but without statistical significance. The protein expressions of NLRP3, Caspase 1, and IL-1β in the COF₇ group were significantly higher than those in the CON₇ group (P<0.05, P<0.01). Conclusion Acute exposure to cooking oil fumes can induce significant inflammatory response in adipose tissue, and the effect gradually increases with the extension of exposure time. The mechanism of action may be related to the activation of NLRP3 inflammasome signaling pathway.

Objective To retrieve,evaluate and summarize the best evidence of early mobilization in awake patients on extracorporeal membrane oxygenation,and to provide a reference for clinical practice.Methods UpToDate,BMJ Best Practice,Registered Nurses'Association of Ontario,National Guideline Clearinghouse,National Institute for Health and Care Excellence,Yimaitong,Joanna Briggs Institute Library,Cochrane Library,CINAHL,PubMed,SinoMed,CNKI,Wanfang Database,Vip Database and Extracorporeal Life Support Organization Website were researched to collect the literature,including clinical guidelines,expert consensuses,evidence summaries,systematic reviews,and well-designed original studies.The time limit for retrieval was until June 2023.The quality of literature and the level of evidence were evaluated by the evaluation criteria and evidence grading system of J BI Evidence-Based Health Care Center.Results 14 pieces of the literature were included,including 2 clinical guidelines,4 expert consensuses,5 systematic reviews,2 cohort studies and 1 case series.Totally 33 pieces of evidence were summarized,covering 7 aspects:adaptation conditions for the implementation of awake ECMO,team composition,comprehensive assessment,pre-mobilization preparation,mobilization content,prevention and control of adverse events,and effect evaluation.Conclusion The study summarizes the best evidence of early mobilization in awake patients on extracorporeal membrane oxygenation.It is suggested that medical institutions establish a professional team for the early mobilization of awake ECMO patients,apply the best evidence to standardize the early mobilization process,and formulate an individualized mobilization program.

AIM To investigate the clinical effects of Feining Paidu Decoction combined with conventional treatment on patients with Mycoplasma pneumoniae lobar pneumonia.METHODS Ninety patients were randomly assigned into control group(45 cases)for 2-week intervention of conventional treatment,and observation group(45 cases)for 2-week intervention of both Feining Paidu Decoction and conventional treatment.The changes in clinical effects,TCM syndrome scores,inflammatory indices(WBC,N,CRP,ESR,PCT),inflammatory cytokines(TNF-α,IL-6,IL-8),coagulation indices(PLT,TT,PT,APTT,Fib,D-D),pulmonary imaging intergal and incidence of adverse reactions were detected.RESULTS The observation group demonstrated higher total effective rate than the control group(P<0.05).After the treatment,the two groups displayed decreased TCM syndrome scores,inflammatory indices,inflammatory cytokines,PLT,pulmonary imaging intergal(P<0.05),especially for the observation group(P<0.05);the observation group exhibited prolonged TT,PT,APTT(P<0.05),and decreased Fib,D-D(P<0.05),which were more obvious than those in the control group(P<0.05).No significant difference in incidence of adverse reactions was found between the two groups(P>0.05).CONCLUSION For the patients with Mycoplasma pneumoniae lobar pneumonia,Feining Paidu Decoction combined with conventional treatment can safely and effectively alleviate clinical symptoms,and improve inflammatory responses,coagulation functions.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective To identify the factors associated with frailty in lung transplant patients by a meta-analysis.Methods Computerized search was performed for studies on the influencing factors of frailty in lung transplant patients in the CNKI,WanFangData,VIP,CBM,PubMed,Web of Science,Embase,Elsevier ScienceDirect and CINAHL databases.The search was conducted from the time of database construction to November 2023.Literature screening,quality assessment,and data extraction were performed independently by 2 investigators,and Meta-analysis was performed using Stata 17.0 software.Results 10 cohort studies,including 1 999 patients,were finally included,and 13 influencing factors were extracted,including advanced age(OR=1.05),female(OR=2.50),BMI(OR=0.38),diagnosis of primary pulmonary disease(OR=2.90),6MWD(OR=0.34),and lung allocation score(OR=0.69),FVC(OR=0.60),pre-transplant frailty(OR=0.81),hypoproteinemia(OR=4.12),hemoglobin(OR=0.50),anemia(OR=4.37),length of ICU stay(OR=1.24),and total length of stay(OR=1.05).Short Physical Performance Battery is an assessment tool for frailty in lung transplant patients,with an incidence of frailty in 24％before transplantation and 50％in post-transplantation.Fried Frailty Phenotype is an assessment tool for frailty in lung transplant patients,with a pre-transplant frailty incidence of 30％.Conclusion There are many factors involved in the incidence of frailty in lung transplant patients,and nursing staff should dynamically evaluate the frailty of lung transplant patients,and give individualized and precise interventions in combination with a multidisciplinary model to improve or delay the progression of frailty.

Objective To evaluate the effect of remote interventions with digital health technologies in lung transplant patients.Methods Databases,including CKNI,Wangfang,VIP,CMB,Cochrane Library,PubMed,Embase,Web of Science,Scopus and BMJ Best Practice were searched from their inception to July 2023.There were 2 researchers who independently screened and extracted the literature,and then evaluated quality of the included studies.Meta-analysis was performed using RevMan 5.2.Results 10 studies with 1 262 patients were included.The results of meta-analysis showed that compared with conventional intervention,remote intervention based on digital health technology could improve self-monitoring compliance of lung transplant patients[0R=0.64,95％CI(0.46,0.88),P=0.006],improve quality of life including mental health status[OR=3.08,95％CI(0.41,5.74),P=0.020]and physical health status[OR=3.81,95％CI(1.19,6.43),P=0.004].In terms of the intervention forms,the application-based remote intervention had better self-monitoring compliance,and the difference was statistically significant(P=0.007).However,in terms of the comparison of readmission rate[OR=1.73,95％CI(0.98,3.04),P=0.060],anxiety[OR=-0.12,95％CI(-1.36,1.11),P=0.850],and depression[OR=0.62,95％CI(-0.80,2.03),P=0.390],the effect of intervention was unclear.Conclusion Remote intervention based on digital health technology can improve self-monitoring compliance and quality of life in lung transplant patients;applications are the optimal form of intervention.Limited by the quality and quantity of included studies and the heterogeneity of study results,more high-quality studies are needed to further verify the effects of digital health technology on readmission rates,anxiety and depression of lung transplant patients.

Objective To investigate the incidence and risk factors of post-transplant diabetes mellitus(PTDM)in adult lung transplant recipients.Methods Conducting a convenience sampling method,we retrospectively analyzed the clinical data of lung transplant recipients from January 2020 to December 2022 at a tertiary A hospital in Hangzhou,Zhejiang Province.According to the PTDM diagnostic criteria,lung transplant recipients are divided into a PTDM group and a non-PTDM group.The incidence rate of PTDM is calculated,and the influencing factors for PTDM occurrence are analyzed using both univariate and multivariate logistic regression methods.Results A total of 140 patients were included in this study,and 54 lung transplant recipients developed PTDM within 6 months,with an incidence of 38.57％.Univariate analysis showed that there were significant differences in age,gender,BMI,smoking history,pre-operative glycated albumin,pre-operative fasting blood glucose,early post-operative blood glucose and pre-operative creatinine between the 2 groups(P＜0.05).Multivariate Logistic analysis showed that gender(OR=5.283),BMI(OR=6.122),pre-operative glycated albumin(OR=1.330),and early post-operative blood glucose(0R=1.444)were the influencing factors.Conclusion Lung transplant recipients who were male,BMI &ge;24.0,with high levels of glycated albumin before surgery,and high blood sugar early after surgery had a higher risk of developing PTDM.Clinical nurses can formulate relevant nursing measures according to the influencing factors to prevent the occurrence of PTDM.

Objective:To explore the effect of dietary modification-assisted multimodal therapy in the prevention and treatment of chronic prostatitis.Methods:A total of 132 cases of chronic prostatitis treated in the Outpatient Department of our hospital were randomly divided into an observation group(n=68)and a control group(n=64),the former following the Mediterranean dietary pattern,the latter adhering to their own dietary habits,and meanwhile both receiving lifestyle guidance,psychological counseling,symptomatic medication and physiotherapy according to their specific symptoms.The patients were followed up for 4 weeks,therapeutic effects were observed and comparisons were made between the two groups in the NIH-CPSI scores before and after treatment.Re-sults:Compared with the baseline,the quality of life(QOL)scores,pain and urination discomfort scores and total NIH-CPSI scores were significantly decreased in both the observation and the control groups after treatment(P<0.05),even more decreased in the former than in the latter,but with no statistically significant difference between the two(P>0.05).The rate of therapeutic effective-ness was higher in the observation group than in the control(87.1%vs 79.7%,but showed no statistically significant difference be-tween the two groups(P>0.05).Conclusion:Multimodal therapy is suitable for the management of different clinical manifesta-tions of individual patients,while dietary habits vary from person to person as well as from region to region.Therefore,scientific dietary modification for the prevention and treatment of CP/CPPS needs further exploration.