ObjectiveTo construct and validate a clinical prediction model for inflammatory remission outcomes in rheumatoid arthritis （RA） patients with liver and kidney deficiency syndrome treated with Bushen Zhiwang Decoction （补肾治尪汤， BZD） based on metabolomics. MethodsA prospective cohort study was conducted， enrol-ling 60 RA patients with liver and kidney deficiency syndrome. All patients were treated with BZD and conventional-dose oral conventional synthetic disease-modifying antirheumatic drugs （csDMARDs） for 12 months. Clinical data were collected， and the change in disease activity score in 28 joints （DAS28） after treatment compared with baseline （△DAS28） was used as the primary outcome and grouping criterion. Peripheral blood samples were collected before treatment to analyze plasma metabolites. Differential analysis and least absolute shrinkage and selection operator （LASSO） regression were used to preliminarily screen differential metabolites， followed by machine learning algorithms to further identify a core metabolite combination. Based on the expression levels of the core metabolite combination， a novel metabolite index， namely the metabolomics-based inflammatory remission score （Met-IRS）， was calculated using standar-dized metabolite values， and its clinical applicability was evaluated. A clinical prediction model was constructed by integrating clinical characteristics and Met-IRS， and the model performance was assessed. ResultsAmong the 60 patients， those with △DAS28 ≥ 0.27 were assigned to the high inflammatory remission group， while those with △DAS28 ＜ 0.27 were assigned to the low inflammatory remission group， with 30 cases in each group. Compared to the low inflammatory remission group， the high inflammatory remission group showed a higher frequency of methotrexate use and a lower positive rate of rheumatoid factor （RF） （P＜0.05）. Seven core metabolites were identified as the optimal combination， including mangiferic acid， fatty acid-hydroxy fatty acid ester 40∶6， fatty acid-hydroxy fatty acid ester 18∶0， fatty acid-hydroxy fatty acid ester 36∶1， glucosylceramide， lysophosphatidylcholine 22∶5， and pregnanetriol ketone. The calculated Met-IRS comprehensively reflected the characteristics of differential metabolites and demonstrated clinical applicability. Met-IRS was significantly higher in the high inflammatory remission group than in the low inflammatory remission group， and was positively correlated with high inflammatory remission outcomes （P＜0.05）. Based on the variables Met-IRS， methotrexate use， leflunomide use， and RF positivity， a clinical prediction model for inflammatory remission in RA treatment （Cj-RTRM） was constructed. Model performance evaluation demonstrated that the model had good clinical predictive ability， with an area under the receiver operating characteristic curve （AUC） of 0.880， sensitivity 0.967， specificity 0.700 and Youden's index 0.667. ConclusionThe clinical prediction model Cj-RTRM constructed based on the metabolomics-based inflammatory remission score Met-IRS can effectively predict clinical inflammatory remission outcomes in RA patients treated with BZD and accurately identify the advantageous population for this treatment. This model provides guiding evidence for dynamic inflammation monitoring， targeted management， and identification of populations with advantages in traditional Chinese medicine.

Background The contamination of public baths with Legionella pneumophila contamination has become a growing public health concern in recent years. However, research on its association with bacterial community characteristics in water samples remains limited. The integration of 16S rRNA sequencing and random forest modeling provides a new approach to elucidate the bacterial community characteristics of public bath water and their association with Legionella pneumophila contamination. Objective To investigate the bacterial community structure and diversity of public bath water in Shanghai, explore the association between Legionella pneumophila contamination and bacterial community characteristics, and identify key bacterial genera associated with contamination, thereby providing a scientific basis for formulating hygiene management regulations for public bath water. Methods From February to March 2023, water samples were collected from ten public baths in Shanghai which were selected based on business scale, regional distribution, and functional differences. Water quality parameters were evaluated, and the samples were categorized into Legionella-positive and Legionella-negative groups based on the detection results of Legionella pneumophila. The bacterial community structure, α-diversity, and β-diversity were analyzed using 16S rRNA sequencing. Redundancy analysis (RDA) was employed to examine the relationship between physicochemical factors and bacterial community diversity. A random forest model was employed to identify key bacterial genera distinguishing the two groups, with the importance of genera being evaluated based on the mean decrease accuracy (MDA). Results The oxygen consumption in the Legionella-positive group was significantly lower than that in the Legionella-negative group (mean values: 1.85 mg·L⁻¹ vs. 6.81 mg·L⁻¹, P< 0.05), while no significant differences were observed in other physicochemical indicators. The sequencing results revealed a total of 27 bacterial phyla and 454 bacterial genera, with Proteobacteria (63.00%) being the dominant phylum. The dominant genera included Pelomonas (8.50%), Acidovorax (8.13%), Mycobacterium (7.93%), and Acinetobacter (6.59%). The α-diversity analysis indicated that bacterial community richness (Chao1 and ACE indices) was significantly higher in the Legionella-positive group than in the Legionella-negative group (P<0.01). The β-diversity analysis showed no significant difference in the bacterial community structure between the two groups (P>0.05). The RDA analysis demonstrated that the bacterial community diversity was positively correlated with pH and negatively correlated with oxygen consumption and free residual chlorine. The RDA1 and RDA2 explained 23.92% and 21.30% of the bacterial community diversity, respectively. The random forest model identified 20 key genera significantly influencing the microbial community distribution between the two groups, including unclassified_Bradyrhizobiaceae (MDA=2.42), Meiothermus (MDA=2.37), and Flavihumibacter (MDA=2.26). Conclusion The diversity of bacterial communities in public bath water is influenced by pH, oxygen consumption, and free residual chlorine. Samples contaminated with Legionella pneumophila exhibit greater microbial richness and contain characteristic key bacterial genera that contribute to community differences. Machine learning random forest technology helps identify these distinctive key bacterial genera. The findings provide a basis for carrying out risk early warning strategies in such settings.

Objective To construct and compare logistic regression and decision tree models for predicting systemic inflammatory response syndrome (SIRS) in patients with type B aortic dissection (TBAD) after interventional surgery. Methods A retrospective analysis was conducted on clinical data of TBAD patients at Peking University Shenzhen Hospital from 2020 to 2024. The patients were divided into a SIRS group and a non SIRS group based on whether SIRS occurred within 24 hours after surgery. Multivariate logistic regression was used to analyze the influencing factors of SIRS occurrence in TBAD intervention patients, and a decision tree model was constructed using SPSS Modeler to compare the predictive performance of the two models. Results A total of 742 patients with TBAD were included, including 579 males and 163 females, aged 27-97 (58.85±10.79) years. Within 24 hours after intervention, a total of 506 patients developed SIRS, with an incidence rate of 68.19%. Logistic regression analysis showed that the extensive involvement of the dissection, the surgical time≥2 hours, PET coated stents implanted, serum creatinine, white blood cell count, C-reactive protein, monocyte (MONO), neutrophil count levels elevated, estimated glomerular filtration rate and decreased albumin levels were independent risk factors for SIRS (P<0.05). The decision tree model selected a total of 10 explanatory variables and 6 layers with 37 nodes, among which MONO was the most important predictor. The area under the decision tree model curve was 0.829 [95%CI (0.800, 0.856)], which was better than the logistic regression model's 0.690 [95%CI (0.655, 0.723)], and the difference was statistically significant (P<0.001). Conclusion The incidence of SIRS after TBAD intervention is high, and the decision tree model has better predictive performance than logistic regression. It can identify high-risk patients with higher accuracy and provide a practical tool for early clinical intervention.

ObjectiveTo analyze the epidemiological and etiological characteristics of hand-foot-and-mouth disease (HFMD) in Jinjiang District of Chengdu City from 2014 to 2024, and to provide a reference basis for HFMD prevention and control. MethodsA retrospective study was conducted to collect confirmed and clinically diagnosed cases of HFMD in Jinjiang District from January 1, 2014 to December 31, 2024. Descriptive epidemiological methods were used to analyze the distribution of cases by person, time, and place. Joinpoint regression models were applied to examine trends for incidence and severe case rates, while seasonal patterns were analyzed using the seasonal index method. Chi-square tests were used for comparing rates, Mann-Whitney U tests were applied for comparing two groups with skewed distributions, and Kruskal-Wallis H rank-sum tests were used for multiple groups with skewed distributions. Pathogen characteristics were primarily analyzed using descriptive statistics. ResultsA total of 15 561 HFMD cases were reported from 2014 to 2024. The annual crude incidence rate ranged from 51.32/100 000 to 502.50/100 000, the age-standardized incidence rate ranged from 55.56/100 000 to 721.07/100 000, peaking in 2018, and the overall epidemic intensity generally showed an alternating-year pattern of intensification. A total of 85 severe cases were reported, showing a declining trend in the severe case rate (APC=AAPC=-37.57%, 95%CI∶ -51.49%‒21.33%， P<0.01). Severe cases were most common in the 1‑year‑old age group (43.53%), with a median age of 1.88 years. Recurrent infections accounted for 1 245 cases (8.00%), with 96.73% of these being reinfections. The median age at first infection for recurrent cases was 1.98 years, significantly lower than that of single-infection cases (2.69 years, P<0.001), and the median interval between consecutive infections was 1.19 years. The disease exhibited a bimodal seasonal pattern, with epidemic peaks occurring from May to July and from October to December, however, summer peaks extending into autumn were observed in 2018 and 2023. There were statistically significant differences in age distribution across different years (H=467.51, P<0.001), with the median age increasing from 2.25 years in 2018 to 4.18 years in 2024, and the interquartile range widening from 1.84 to 3.78 years. Since its initial detection in 2017, CVA6 has been identified annually, showing a peak proportion of 87.50% in 2023 and a second peak of 68.18% in 2018. CVA10 was detected during 2021‒2023, peaking at 18.75% in 2021 and decreasing to 14.29% in 2022. Male incidence rates were consistently higher than female rates each year (P<0.05). The proportion of males in the reinfection group was significantly higher than that in the single-infection group (χ²=9.951, P=0.002). Pathogen analyses showed that CVA16 was detected annually, EV71 detection declined fluctuantly and was not detected after 2022. CVA6 was first detected in 2017 and rapidly increased in prevalence, reaching 87.50% in 2023 and becoming the dominant strain. Among severe cases, EV71 accounted for the highest proportion (52.63%), while CVA16 was most common in non-severe cases (41.60%). There was a statistically significant difference in pathogen composition between severe and non-severe cases (χ²=10.402,P=0.011). ConclusionThe epidemiological profile of HFMD undergoes continuous changes over time. It is necessary to strengthen routine surveillance, with particular attention to changes in the pathogen spectrum and age distribution, so as to provide evidence for precise prevention and control measures and the adjustment of vaccination strategies.

ObjectiveTo investigate the in vivo anti-inflammatory effects of the triterpenoid saponin-enriched fraction Fr.B4 from the She medicine Clematis florida (C. florida) in a rat model of phenol-induced cervicitis and to preliminarily explore its potential mechanisms of action. MethodsThirty 6–8-week-old female SPF-grade SD rats were randomly assigned to three groups: control, cervicitis model, and C. florida treatment group, with 10 rats in each group. The model and C. florida treatment groups were induced with cervicitis by vaginal injection of 25% phenol gel (once every 2 d, for a total of three injections), and the vulva and cervix were examined to assess the effectiveness of model establishment. After successful modeling, the C. florida treatment group was administered Fr.B4 at 290 mg/kg daily by gavage (dissolved in normal saline), whereas the model group received an equal volume of normal saline; both treatments continued for 2 weeks. The control group received no modeling procedure and was administered normal saline for 2 weeks. After the last intervention, fresh feces and urine samples were collected from all rats. The rats were euthanized after anesthesia with 40 mg/kg Zoletil 50, and the serum and cervical tissue samples were harvested. ELISA was used to measure the levels of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and interleukin-6 (IL-6) in rat serum and cervical tissue. Hematoxylin and eosin (HE) staining was performed to observe the pathological changes in cervical tissue. Liquid chromatography-mass spectrometry was employed to analyze differential metabolites in feces and urine, followed by Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment and core metabolite analysis. 16S rDNA sequencing was used to assess the gut microbiota structure and diversity in each group. Statistical analysis was conducted using GraphPad Prism 9.0. ResultsCompared with the control group, rats in the model group exhibited cervical redness, swelling, and erosion, with significant increases in TNF-α, IL-1β, and IL-6 levels in both serum and cervical tissue (P<0.05 or P<0.01). Pathological examination of cervical tissue showed thickening of the squamous epithelium, infiltration of inflammatory cells, and edema. Compared with the model group, rats with C. florida treatment showed marked alleviation of cervicitis symptoms, with significantly reduced levels of pro-inflammatory cytokines in serum and cervical tissue (P<0.05 or P<0.01). Cervical tissue edema was alleviated, inflammatory cells were reduced, and squamous epithelium thickening was ameliorated. Metabolomics analysis revealed 346 and 564 differential metabolites in the feces and urine between the model and control groups, respectively. After treatment with Fr.B4, 236 and 451 metabolites in the feces and urine showed significant shifts toward control levels, involving pathways including cyclic adenosine monophosphate (cAMP) signaling, AMP-activated protein kinase (AMPK) signaling, and glutathione metabolism. Anti-inflammatory metabolites like boswellic acid and oleanolic acid were increased (P<0.01 or P<0.001). Gut microbiota analysis showed dysbiosis in the model group, with an imbalance in the Firmicutes/Bacteroidetes ratio. The Fr.B4 treatment remodeled the gut microbiota. The α-diversity of microbiota shifted toward that of the control group. Specific bacterial genera were found to correlate significantly with metabolites (P<0.05 or P<0.01). ConclusionThe triterpenoid saponin-enriched fraction Fr.B4 from She medicine C. florida may exert anti-cervicitis effects by reducing pro-inflammatory cytokine levels, modulating the gut microbiota balance, and remodeling metabolism.

BACKGROUND: Asthma is a common chronic inflammatory airway disease and intermittent hypoxia is increasingly recognized as a factor that may impact disease progression. The present study investigated whether intermittent hypoxia (IH) could aggravate asthma by promoting hypoxia-inducible factor-1α (HIF-1α)/nucleotide-binding oligomerization domain (NOD)-like receptor pyrin domain-containing protein 3 (NLRP3)/interleukin (IL)-1β-dependent pyroptosis and the inflammatory response and further elucidated the underlying molecular mechanisms involved. METHODS: A total of 49 patients diagnosed with severe bronchial asthma and diagnosed by polysomnography were enrolled at Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, between January 2022 and December 2022, and their general data and induced sputum were collected. BEAS-2B cells were treated with IL-13 and subjected to IH. An ovalbumin (OVA)-treated mouse model was also used to assess the effects of chronic intermittent hypoxia (CIH) on asthma. Pyroptosis, the inflammatory response, and related signalling pathways were assessed in vivo and in vitro . RESULTS: In this study, as the apnoea and hypopnea index (AHI) increased, the proportion of patients with uncontrolled asthma increased. The proportions of neutrophils and the levels of IL-6, IL-8, HIF-1α and NLRP3 in induced sputum were related to the AHI. NLRP3-mediated pyroptosis, which could be mediated by the HIF-1α signalling pathway, was activated in IL-13 plus IH-treated BEAS-2B cells and in the lungs of OVA/CIH mice. HIF-1α downregulation significantly reduced lung pyroptosis and ameliorated neutrophil inflammation by modulating the NLRP3/IL-1β pathway both in vitro and in vivo . Similarly, pretreatment with LW6, an inhibitor of HIF-1α, effectively blocked the generation of inflammatory cytokines in neutrophils. In addition, administration of the NLRP3 activator nigericin obviously increased lung neutrophil inflammation. CONCLUSIONS Obstructive sleep apnoea-hypopnea syndrome (OSAHS) is a risk factor for asthma exacerbation. IH aggravates neutrophil inflammation in asthma via NLRP3/IL-1β-dependent pyroptosis mediated by the HIF-1α signalling pathway, which should be considered a potential therapeutic target for the treatment of asthma with OSAHS.
NLR Family, Pyrin Domain-Containing 3 Protein/metabolism* ; Humans ; Asthma/metabolism* ; Animals ; Pyroptosis/physiology* ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Mice ; Signal Transduction/physiology* ; Male ; Hypoxia/metabolism* ; Female ; Interleukin-1beta/metabolism* ; Adult ; Inflammation/metabolism* ; Middle Aged ; Mice, Inbred C57BL

OBJECTIVES: This study aimed to explore the clinical efficacy of severe early childhood caries (SECC) treatment combined with local anesthesia under general anesthesia. METHODS: A total of 108 children under 6 years old who underwent SECC dental treatment under general anesthesia at the Department of Pediatric Dentistry, Third Affiliated Hospital of Air Force Medical University from March to December 2023 were selected as the study subjects, with American Society of Anesthesiologists (ASA) classification of classⅠor Ⅱ. The study subjects were divided into a control group (n=54) and an experimental group (n=54) by retrieving intraoperative cases and postoperative follow-up records. The control group was given general anesthesia through inhalation combined with nasotracheal intubation, whereas the experimental group was given local anesthesia with 2% lidocaine on each treated tooth on the basis of general anesthesia. The basic information, preoperative anesthesia depth, hemodynamic changes during different surgical procedures, postoperative pain, and adverse reactions in the two groups were recorded and analyzed. RESULTS: No statistically significant difference was found in the basic information and preoperative anesthesia depth between the two groups (P>0.05). Among the three procedures (pulpotomy, root canal treatment, and tooth extraction), the three observed indicators in the experimental group were significantly lower than those in the control group (P<0.05). The proportion of patients in the experimental group who needed to take analgesic measures in accordance with the modified facial pain scale (FPS-R) score was significantly lower than that in the control group at postoperative wakefulness and 2 h after surgery (P<0.05). Meanwhile, no statistically significant difference was observed between the groups at 24 h after surgery (P>0.05). The proportion of patients in the experimental group who needed to take analgesic measures on the basis of the parent posto-perative pain measurement (PPPM) score was significantly lower than that in the control group when they were awake after surgery (P<0.05). No statistically significant difference was found between the groups at 2 and 24 h after surgery (P>0.05). Moreover, no statistically significant difference was observed in the incidence of adverse reactions between the two groups at 24 h after surgery (P>0.05). CONCLUSIONS The combination of local anesthesia during SECC dental treatment under general anesthesia results in minimal changes in intraoperative hemodynamics and mild postoperative pain response, hence worthy of clinical promotion.
Humans ; Anesthesia, General ; Child, Preschool ; Dental Caries/therapy* ; Pain, Postoperative/prevention & control* ; Anesthesia, Local/methods* ; Male ; Hemodynamics ; Female ; Lidocaine/administration & dosage* ; Child ; Anesthetics, Local/administration & dosage* ; Anesthesia, Dental/methods*

Objective To investigate the therapeutic mechanism of Dingkun Dan(DKD)in polycystic ovary syndrome(PCOS)by examining the effects of microRNA-30d-5p on ovarian granulosa cells(GCs).Methods A PCOS rat model was established using dehydroepiandrosterone(DHEA).Normal rat GCs and PCOS rat GCs were cultured in vitro and divided into four groups:blank control group,model group,low-dose DKD group,and high-dose DKD group.After grouping,GCs viability was assessed using the methyl thiazolyl tetrazolium(MTT)assay,GCs apoptosis was analyzed by flow cytometry,and the gene expression of transforming growth factor β1(TGF-β1),Smad2,Smad3,and microRNA-30d-5p in GCs was measured by real-time polymerase chain reaction(RT-PCR),protein expression of TGF-β1,Smad2,and Smad3 in GCs was detected by Western Blot.Results Compared with the blank control group,the model group exhibited significantly decreased GCs viability,increased GCs apoptosis,upregulated mRNA and protein expression of TGF-β1,Smad2,and Smad3,and downregulated microRNA-30d-5p expression,the differences were statistically significant(P＜0.01).Compared with the model group,both low-and high-dose DKD groups showed increased GCs viability,reduced GCs apoptosis,downregulated mRNA and protein levels of TGF-β1 Smad2 and Smad3,elevated microRNA-30d-5p expression,and the differences were statistically significant(P＜0.05 or P＜0.01).Conclusion DKD promotes GCs proliferation by targeting Smad2 via microRNA-30d-5p,suggesting a potential therapeutic role in PCOS-related ovulatory dysfunction.

Objective To investigate the temporal and spatial relationship between autophagosome formation during spermatid deformation and lipid droplet distribution in seminiferous tubules,thereby providing insights into the en-ergy sources underlying spermiogenesis.Methods Healthy adult wild-type male mice were used in this study.The expression profile of the autophagy marker microtubule-associated protein light chain 3(LC3)in the testis was ex-amined using immunohistochemical staining and Western blot.The ultrastructural features of autophagosomes were observed via transmission electron microscopy.Lipid droplets in the seminiferous tubules were visualized by Oil Red O staining,and the relationship between lipid metabolism and energy dynamics was assessed by measuring ATP content and ATPase activity.Results Autophagosomes were detected in deforming spermatids and Sertoli cells.LC3 was predominantly expressed in the cytoplasm of elongating spermatids,with increasing levels found from stages Ⅱ to Ⅳ.Concurrently,lipid droplets within these cells also increased,peaking in spermatids and residual bodies during stagesⅦ-Ⅷ,followed by a decline.In contrast,lipid droplets in Sertoli cells remained markedly in-creased during stages Ⅸ-Ⅰ and low during stages Ⅱ-Ⅷ.The change of ATP levels in the seminiferous tubules showed a similar pattern as Sertoli cell lipid content,whereas ATPase activity showed an inverse trend.All these changes displayed a clear stage-dependent manner.Conclusions During spermatid elongation in mice LC3 expres-sion,autophagosome formation,lipid droplet accumulation in both spermatozoa and Sertoli cells,as well as ATP and ATPase levels in seminiferous tubules exhibit a tightly coordinated spatiotemporal relationship.These findings suggest that autophagy and lipid metabolism synergistically contribute to the energy supply required for the extensive cellular remodeling that occurs during spermiogenesis.