ObjectiveTo construct an actor-network for integrating physical activity into rehabilitation services based on the World Health Organization Rehabilitation in Health Service System framework and actor-network theory (ANT). MethodsContent analysis was employed using the six building blocks of health service systems as the theoretical framework. Actors related to rehabilitation services were extracted and categorized into a rehabilitation actor pool, while a physical activity actor pool was formed based on four major physical activity scenarios. Actors from both pools were integrated, deduplicated and classified to form a final list of integrated actors. Using ANT, the construction process of the actor network integrating physical activity into rehabilitation was analyzed through the four stages of translation: problematization, interessment, enrollment and mobilization. ResultsA dynamic integration network was constructed, comprising human actors (patients, rehabilitation professionals, researchers, sports coaches, government departments, medical institutions, community organizations and industry media, etc.) and non-human actors (assistive devices, sports infrastructure, smart equipment, information systems, online exercise guidance systems, laws and regulations, strategic documents, and exercise prescriptions, etc.). The study identified maximizing rehabilitation outcomes as the mandatory passage point and elaborated on the critical role of government departments as focal actors in coordinating various stakeholders. ConclusionThe integration of physical activity into rehabilitation services is a dynamic network constructed by diverse actors through a process of translation. ANT provides an operational theoretical framework for cross-departmental governance of rehabilitation policies in China, promotes the spatial expansion of the rehabilitation field, and drives its transformation toward a networked and ecological system. The government needs to play a leading role in facilitating role reconstruction and synergy among heterogeneous actors in both the sports and rehabilitation sectors through mechanism design, to create a bidirectional empowerment mechanism that fosters mutual progress and ensures the sustainable development of integrated services.

Objective:To explore the association between the metabolic score for insulin resistance (METS-IR) and metabolic dysfunction-associated fatty liver disease (MAFLD), and to compare the diagnostic ability of METS-IR with the fatty liver index (FLI) and hepatic steatosis index (HSI) for MAFLD.Methods:This cross-sectional study enrolled 551 individuals participating in community health screenings in Suzhou between September and November 2022. Data collected included basic demographics, clinical indicators, and iLivTouch? (FibroTouch FT5000, Wuxi Hisky Medical Technologies, China) transient elastography results. Participants were categorized into non-MAFLD ( n=218) and MAFLD ( n=333) groups based on an ultrasound attenuation parameter (UAP) cutoff of 244 dB/m measured by iLivTouch. Logistic regression and restricted cubic spline (RCS) analyses were employed to assess the relationship between METS-IR and MAFLD. The diagnostic value of METS-IR was evaluated using receiver operating characteristic (ROC) curves. DeLong′s test was used to compare the diagnostic performance of the different indices. Results:Among the 551 participants, the prevalence of MAFLD diagnosed by transient elastography was 60.4% (333/552). Compared to the non-MAFLD group, the MAFLD group had significantly higher levels of BMI, SBP, DBP, HbA1c, FPG, 2hPG, TC, TG, LDL-C, ALT, AST, GGT, SUA, liver stiffness measurement (LSM), METS-IR, FLI, and HSI, while HDL-C levels were lower (all P<0.05). The MAFLD group also had a higher prevalence of males, overweight/obesity, smoking, hypertension, pre-diabetes, dyslipidemia, hyperuricemia, metabolic syndrome, and antihypertensive medication use (all P<0.05). Multivariate logistic regression analysis, after adjusting for gender, age, smoking, alcohol consumption, hypertension, diabetes, dyslipidemia, hyperuricemia, ALT, AST, and GGT, demonstrated that METS-IR, FLI, and HSI remained significantly associated with an increased risk of MAFLD ( OR=1.148, 1.042, 1.270, respectively; all P<0.001). The areas under the ROC curve for METS-IR, FLI, and HSI in diagnosing MAFLD were 0.733 (95% CI: 0.691-0.774), 0.727 (95% CI: 0.685-0.770), and 0.677 (95% CI: 0.632-0.722), respectively. The sensitivities were 57.40%, 62.20%, and 48.30%; specificities were 78.00%, 72.90%, and 78.40%; and optimal cutoff values were 38.526, 35.225, and 35.386, respectively. DeLong′s test indicated no significant difference in diagnostic performance between METS-IR and FLI ( P=0.722). However, both METS-IR and FLI demonstrated significantly better diagnostic performance than HSI ( P=0.008 and P=0.018, respectively). Conclusion:METS-IR is significantly associated with MAFLD and effectively identifies MAFLD in community settings. Its diagnostic performance is comparable to FLI and superior to HSI.

Objective:To explore the association between oral health status, the lower respiratory tract microbiome, and the frequent acute exacerbation phenotype in chronic obstructive pulmonary disease (COPD).Methods:This cross-sectional study enrolled 39 patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) hospitalized in the Department of Respiratory Medicine, Henan Provincial People′s Hospital between March 2021 and December 2022. Based on the number of hospitalization episodes for acute exacerbation in the past year, patients were divided into a frequent exacerbator group (≥2 times, n=28) and a non-frequent exacerbator group (<2 times, n=11). Bronchoalveolar lavage fluid (BALF) samples were collected from all subjects for metagenomic next-generation sequencing (mNGS). Oral health indicators and clinical data were also collected. Statistical analyses were performed using Spearman correlation analysis and multivariable Firth logistic regression analysis. Results:The frequent exacerbation group showed a significantly higher percentage of individuals with≥8 tooth loss compared to the non-frequent exacerbation group (96.4% vs 18.2%, P<0.001), a significantly younger age at first tooth loss in adulthood (53.96±7.30 years vs 62.10±5.80 years, P=0.003), and a significantly higher proportion of individuals who hardly brushed their teeth (50.00% vs 9.09%, P=0.038). The alpha-diversity indices of the lower respiratory tract microbiota were significantly lower in the frequent exacerbation group than in the non-frequent exacerbation group (all P<0.01). The relative abundances of Bacillota, Bacteroidota, Fusobacteriota, Streptococcus, Prevotella, Veillonella, Neisseria, Rothia, Prevotellamelaninogenica, Prevotellajejuni, Rothia mucilaginosa, Veillonella parvula, and Neisseria subflava were lower in the frequent exacerbation group (all P<0.05). In patients with AECOPD, the exacerbation frequency and the presence of ≥8 tooth loss were both negatively correlated with the Shannon index ( r=-0.854, P<0.001; r=-0.642, P<0.001, respectively). Further analysis revealed that Bacillota ( r=-0.862, P<0.001) and Streptococcus ( r=-0.814, P<0.001) were significantly negatively correlated with exacerbation frequency, while Pseudomonas was positively correlated with exacerbation frequency (all P<0.05). Bacillota ( r=0.369, P=0.021), Fusobacteriota ( r=0.368, P=0.021), and Veillonella ( r=0.379, P=0.017) were positively correlated with FEV 1% predicted. Multivariable Firth logistic regression analysis revealed that the first principal component of the microbial community ( OR=2.29, 95% CI: 1.20-11.07) and the loss of≥8 teeth ( OR=14.37, 95% CI: 1.42-482.51) were independent factors associated with frequent acute exacerbations. Conclusion:Frequent acute exacerbations of COPD are significant association with deteriorated oral health and dysbiosis of the lower respiratory tract microbiome, characterized by reduced alpha-diversity and depletion of commensal bacteria.

Early correction of childhood malocclusion is timely managing morphological, structural, and functional abnormalities at different dentomaxillofacial developmental stages. The selection of appropriate imaging examination and comprehensive radiological diagnosis and analysis play an important role in early correction of childhood malocclusion. This expert consensus is a collaborative effort by multidisciplinary experts in dentistry across the nation based on the current clinical evidence, aiming to provide general guidance on appropriate imaging examination selection, comprehensive and accurate imaging assessment for early orthodontic treatment patients.
Humans ; Malocclusion/diagnostic imaging* ; Child ; Consensus

The prevalence of Class III malocclusion varies among different countries and regions. The populations from Southeast Asian countries (Chinese and Malaysian) showed the highest prevalence rate of 15.8%, which can seriously affect oral function, facial appearance, and mental health. As anterior crossbite tends to worsen with growth, early orthodontic treatment can harness growth potential to normalize maxillofacial development or reduce skeletal malformation severity, thereby reducing the difficulty and shortening the treatment cycle of later-stage treatment. This is beneficial for the physical and mental growth of children. Therefore, early orthodontic treatment for Class III malocclusion is particularly important. Determining the optimal timing for early orthodontic treatment requires a comprehensive assessment of clinical manifestations, dental age, and skeletal age, and can lead to better results with less effort. Currently, standardized treatment guidelines for early orthodontic treatment of Class III malocclusion are lacking. This review provides a comprehensive summary of the etiology, clinical manifestations, classification, and early orthodontic techniques for Class III malocclusion, along with systematic discussions on selecting early treatment plans. The purpose of this expert consensus is to standardize clinical practices and improve the treatment outcomes of Class III malocclusion through early orthodontic treatment.
Humans ; Malocclusion, Angle Class III/classification* ; Orthodontics, Corrective/methods* ; Consensus ; Child

With the growing emphasis on maternal and child oral health, the significance of managing oral health across preconception, pregnancy, and infancy stages has become increasingly apparent. Oral health challenges extend beyond affecting maternal well-being, exerting profound influences on fetal and neonatal oral development as well as immune system maturation. This expert consensus paper, developed using a modified Delphi method, reviews current research and provides recommendations on maternal and child oral health management. It underscores the critical role of comprehensive oral assessments prior to conception, diligent oral health management throughout pregnancy, and meticulous oral hygiene practices during infancy. Effective strategies should be seamlessly integrated across the life course, encompassing preconception oral assessments, systematic dental care during pregnancy, and routine infant oral hygiene. Collaborative efforts among pediatric dentists, maternal and child health workers, and obstetricians are crucial to improving outcomes and fostering clinical research, contributing to evidence-based health management strategies.
Humans ; Pregnancy ; Female ; Infant ; Consensus ; Mouth Diseases/therapy* ; Pregnancy Complications/therapy* ; Oral Health ; Infant, Newborn ; Delphi Technique ; Oral Hygiene

Objective:To explore the association between the metabolic score for insulin resistance (METS-IR) and metabolic dysfunction-associated fatty liver disease (MAFLD), and to compare the diagnostic ability of METS-IR with the fatty liver index (FLI) and hepatic steatosis index (HSI) for MAFLD.Methods:This cross-sectional study enrolled 551 individuals participating in community health screenings in Suzhou between September and November 2022. Data collected included basic demographics, clinical indicators, and iLivTouch? (FibroTouch FT5000, Wuxi Hisky Medical Technologies, China) transient elastography results. Participants were categorized into non-MAFLD ( n=218) and MAFLD ( n=333) groups based on an ultrasound attenuation parameter (UAP) cutoff of 244 dB/m measured by iLivTouch. Logistic regression and restricted cubic spline (RCS) analyses were employed to assess the relationship between METS-IR and MAFLD. The diagnostic value of METS-IR was evaluated using receiver operating characteristic (ROC) curves. DeLong′s test was used to compare the diagnostic performance of the different indices. Results:Among the 551 participants, the prevalence of MAFLD diagnosed by transient elastography was 60.4% (333/552). Compared to the non-MAFLD group, the MAFLD group had significantly higher levels of BMI, SBP, DBP, HbA1c, FPG, 2hPG, TC, TG, LDL-C, ALT, AST, GGT, SUA, liver stiffness measurement (LSM), METS-IR, FLI, and HSI, while HDL-C levels were lower (all P<0.05). The MAFLD group also had a higher prevalence of males, overweight/obesity, smoking, hypertension, pre-diabetes, dyslipidemia, hyperuricemia, metabolic syndrome, and antihypertensive medication use (all P<0.05). Multivariate logistic regression analysis, after adjusting for gender, age, smoking, alcohol consumption, hypertension, diabetes, dyslipidemia, hyperuricemia, ALT, AST, and GGT, demonstrated that METS-IR, FLI, and HSI remained significantly associated with an increased risk of MAFLD ( OR=1.148, 1.042, 1.270, respectively; all P<0.001). The areas under the ROC curve for METS-IR, FLI, and HSI in diagnosing MAFLD were 0.733 (95% CI: 0.691-0.774), 0.727 (95% CI: 0.685-0.770), and 0.677 (95% CI: 0.632-0.722), respectively. The sensitivities were 57.40%, 62.20%, and 48.30%; specificities were 78.00%, 72.90%, and 78.40%; and optimal cutoff values were 38.526, 35.225, and 35.386, respectively. DeLong′s test indicated no significant difference in diagnostic performance between METS-IR and FLI ( P=0.722). However, both METS-IR and FLI demonstrated significantly better diagnostic performance than HSI ( P=0.008 and P=0.018, respectively). Conclusion:METS-IR is significantly associated with MAFLD and effectively identifies MAFLD in community settings. Its diagnostic performance is comparable to FLI and superior to HSI.

Objective:To explore the association between oral health status, the lower respiratory tract microbiome, and the frequent acute exacerbation phenotype in chronic obstructive pulmonary disease (COPD).Methods:This cross-sectional study enrolled 39 patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) hospitalized in the Department of Respiratory Medicine, Henan Provincial People′s Hospital between March 2021 and December 2022. Based on the number of hospitalization episodes for acute exacerbation in the past year, patients were divided into a frequent exacerbator group (≥2 times, n=28) and a non-frequent exacerbator group (<2 times, n=11). Bronchoalveolar lavage fluid (BALF) samples were collected from all subjects for metagenomic next-generation sequencing (mNGS). Oral health indicators and clinical data were also collected. Statistical analyses were performed using Spearman correlation analysis and multivariable Firth logistic regression analysis. Results:The frequent exacerbation group showed a significantly higher percentage of individuals with≥8 tooth loss compared to the non-frequent exacerbation group (96.4% vs 18.2%, P<0.001), a significantly younger age at first tooth loss in adulthood (53.96±7.30 years vs 62.10±5.80 years, P=0.003), and a significantly higher proportion of individuals who hardly brushed their teeth (50.00% vs 9.09%, P=0.038). The alpha-diversity indices of the lower respiratory tract microbiota were significantly lower in the frequent exacerbation group than in the non-frequent exacerbation group (all P<0.01). The relative abundances of Bacillota, Bacteroidota, Fusobacteriota, Streptococcus, Prevotella, Veillonella, Neisseria, Rothia, Prevotellamelaninogenica, Prevotellajejuni, Rothia mucilaginosa, Veillonella parvula, and Neisseria subflava were lower in the frequent exacerbation group (all P<0.05). In patients with AECOPD, the exacerbation frequency and the presence of ≥8 tooth loss were both negatively correlated with the Shannon index ( r=-0.854, P<0.001; r=-0.642, P<0.001, respectively). Further analysis revealed that Bacillota ( r=-0.862, P<0.001) and Streptococcus ( r=-0.814, P<0.001) were significantly negatively correlated with exacerbation frequency, while Pseudomonas was positively correlated with exacerbation frequency (all P<0.05). Bacillota ( r=0.369, P=0.021), Fusobacteriota ( r=0.368, P=0.021), and Veillonella ( r=0.379, P=0.017) were positively correlated with FEV 1% predicted. Multivariable Firth logistic regression analysis revealed that the first principal component of the microbial community ( OR=2.29, 95% CI: 1.20-11.07) and the loss of≥8 teeth ( OR=14.37, 95% CI: 1.42-482.51) were independent factors associated with frequent acute exacerbations. Conclusion:Frequent acute exacerbations of COPD are significant association with deteriorated oral health and dysbiosis of the lower respiratory tract microbiome, characterized by reduced alpha-diversity and depletion of commensal bacteria.

ObjectiveTo establish a qualitative and quantitative analysis method for chemical constituents in Liu Junzitang（LJZT）， and to clarify its material basis. MethodThe chemical constituents in LJZT were analyzed by ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）， and the resulting compounds were identified by using databases， such as MassBank， PubChem， ChemSpider， Traditional Chinese Medicine Systems Pharmacology Database and Analytical Platform（TCMSP）， and by combining with relevant literature. UPLC was used to establish a quantitative method for analysis of 9 compounds in LJZT， including liquiritin， hesperidin， lobetyolin， liquiritigenin， glycyrrhizic acid， nobiletin， tangeretin， atractylenolide Ⅱ and Ⅰ. ResultBy combining the relevant literature， database and MS information， a total of 79 compounds were identified from LJZT， including 31 flavonoids， 15 terpenoids， 14 nitrogen-containing compounds， 6 phenylpropanoids， 6 organic acids and 7 other compounds. The established quantitative analytical method for the nine representative components showed good linearity within their respective linear ranges， and the precision， stability， reproducibility and recovery were in accordance with the requirements. The quantitative results showed that the contents of liquiritin， hesperidin， lobetyolin， liquiritigenin， glycyrrhizic acid， nobiletin， tangeretin， atractylenolide Ⅱ and Ⅰ in LJZT were 0.376 5， 2.602 1， 0.082 6， 0.128 1， 1.778 6， 0.015 7， 0.006 7， 0.030 4， 0.003 2 mg·g^-1， respectively. ConclusionThe established method can quickly， sensitively and accurately analyze the chemical constituents in LJZT， clarify that the material basis of LJZT is mainly flavonoids， terpenoids and nitrogen-containing compounds， and simultaneously determine the contents of the 9 components， which can lay a foundation for the research on quality control， mechanism and clinical application of LJZT.

Objective:To evaluate the relationship between hippocampal receptor-interacting protein kinase-1 (RIPK1) and nucleotide-binding oligomerization domain-like receptor containing pyrin domain 3 (NLRP3) inflammasomes in postoperative neurocognitive dysfunction of aged rats with chronic knee arthritis pain.Methods:Sixty-four healthy male Sprague-Dawley rats, aged 18 months, weighing 500-550 g, were divided into 4 groups ( n=16 each) using a random number table method: chronic knee arthritis pain group (group P), chronic knee arthritis pain+ operation group (group PS), RIPK1 inhibitor necrostatin-1+ chronic knee arthritis pain+ operation group (group NPS), and DMSO+ chronic knee arthritis pain+ operation group (group DPS). The knee arthritis model was prepared by intra-articular injection of monosodium iodoacetate (MIA) 1 mg into the left knee joint, and 12 weeks later exploratory laparotomy was performed under sevoflurane anesthesia. Necrostatin-1 6.25 mg/kg and the equal volume of DMSO were intraperitoneally injected at 1 h before operation in NPS group and DPS group, respectively. Thermal pain threshold was measured at 1 week before MIA injection and 6 and 12 weeks after MIA injection. Morris water maze test was used to evaluate the cognitive function at 7 days after surgery. Hippocampal tissues were obtained for microscopic examination of the pathological changes (after HE staining) and for determination of the expression of RIPK1, phosphorylated RIPK1 (p-RIPK1), NLRP3, activated cysteine-aspartic protease caspase-1 (cl-caspase-1), apoptosis-associated speck-like protein containing a CARD (ASC) (by Western blot) and contents of interleukin-1beta (IL-1β) and IL-18 (by enzyme-linked immunosorbent assay). Results:Thermal pain threshold was significantly decreased at 6 and 12 weeks after MIA injection as compared with that before injection ( P<0.05), and there was no significant difference in thermal pain threshold among the four groups ( P>0.05). Compared with P group, the escape latency was significantly prolonged, the time of staying at the original platform quadrant was shortened, the number of crossing the original platform was reduced, the expression of RIPK1, p-RIPK1, NLRP3, cl-caspase-1 and ASC was up-regulated, and the contents of IL-1β and IL-18 were increased ( P<0.05), and pathological changes of hippocampal neurons were marked in PS group, DPS group and NPS group. Compared with PS group and DPS group, the escape latency was significantly shortened, the time of staying at the original platform quadrant was prolonged, the number of crossing the original platform was increased, the expression of RIPK1, p-RIPK1, NLRP3, cl-caspase-1 and ASC was down-regulated, the contents of IL-1β and IL-18 were decreased ( P<0.05), and pathological changes of hippocampal neurons were significantly attenuated in NPS group. Conclusions:Postoperative hippocampal RIPK1 function is enhanced in aged rats with chronic knee arthritis pain, which then activates NLRP3 inflammasomes, triggering neuroinflammation, and this process may be involved in the mechanism of postoperative neurocognitive dysfunction.