The prevalence of periodontitis in China is as high as 74.2%, making it the leading cause of tooth loss in adults and severely impacting both oral and overall health. The treatment of periodontitis and periodontal tissue regeneration are global challenges of significant concern. GE Shaohua' s group at School and Hospital of Stomatology, Shandong University has focused on the key scientific issue of "remodeling the periodontal inflammatory microenvironment and optimizing tissue repair and regeneration". They have elucidated the mechanisms underlying the persistence of periodontitis, developed bioactive materials to enhance stem cell regenerative properties, and constructed a series of guided tissue regeneration barrier membranes to promote periodontal tissue repair, leading to the establishment of a comprehensive technology system for the treatment of periodontitis. Specific achievements and progress include: (1) Elucidating the mechanism by which key periodontal pathogens evade antimicrobial autophagy, leading to inflammatory damage; developing intelligent antimicrobial hydrogels and nanosystems, and creating metal-polyphenol network microsphere capsules to reshape the periodontal inflammatory microenvironment; (2) Explaining the mechanisms by which nanomaterial structures and electroactive interfaces regulate stem cell behavior, developing optimized nanostructures and electroactive biomaterials, thereby effectively enhancing the regenerative repair capabilities of stem cells; (3) Creating a series of biphasic heterogeneous barrier membranes, refining guided tissue regeneration and in situ tissue engineering techniques, stimulating the body' s intrinsic repair potential, and synergistically promoting the structural regeneration and functional reconstruction of periodontal tissues. The research outcomes of the group have innovated the fundamental theories of periodontal tissue regeneration, broken through foreign technological barriers and patent blockades, established a cascade repair strategy for periodontal regeneration, and enhanced China' s core competitiveness in the field of periodontal tissue regeneration.
Humans ; Stem Cells/physiology* ; Periodontitis/therapy* ; Guided Tissue Regeneration, Periodontal/methods* ; Regeneration ; Biocompatible Materials ; Tissue Engineering/methods*

OBJECTIVE: Circadian rhythm disruption (CRD) is a risk factor that correlates with poor prognosis across multiple tumor types, including hepatocellular carcinoma (HCC). However, its mechanism remains unclear. This study aimed to define HCC subtypes based on CRD and explore their individual heterogeneity. METHODS: To quantify CRD, the HCC CRD score (HCCcrds) was developed. Using machine learning algorithms, we identified CRD module genes and defined CRD-related HCC subtypes in The Cancer Genome Atlas liver HCC cohort (n = 369), and the robustness of this method was validated. Furthermore, we used bioinformatics tools to investigate the cellular heterogeneity across these CRD subtypes. RESULTS: We defined three distinct HCC subtypes that exhibit significant heterogeneity in prognosis. The CRD-related subtype with high HCCcrds was significantly correlated with worse prognosis, higher pathological grade, and advanced clinical stages, while the CRD-related subtype with low HCCcrds had better clinical outcomes. We also identified novel biomarkers for each subtype, such as nicotinamide n-methyltransferase and myristoylated alanine-rich protein kinase C substrate-like 1. CONCLUSION We classify the HCC patients into three distinct groups based on circadian rhythm and identify their specific biomarkers. Within these groups greater HCCcrds was associated with worse prognosis. This approach has the potential to improve prediction of an individual's prognosis, guide precision treatments, and assist clinical decision making for HCC patients. Please cite this article as: Li XJ, Chang L, Mi Y, Zhang G, Zhu SS, Zhang YX, et al. Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm. J Integr Med. 2025; 23(4): 445-456.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Circadian Rhythm/genetics* ; Prognosis ; Male ; Female ; Biomarkers, Tumor/genetics* ; Middle Aged ; Machine Learning ; Computational Biology

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.

Brasilicardin A, a diterpene glycoside isolated from pathogenic actinomycete Nocardia brasiliensis IFM 0406, has become a novel immunosuppressant candidate due to its significant immunosuppressive activity, low toxicity and unique mechanism of action. However, brasilicardin A and its analogues have become a research hotspot to the development of this promising immunosuppressant because of the low-yield production in the natural pathogenic producer and the synthetically challenging skeleton. According to the reported biosynthetic pathway of brasilicardin A, the function of involved diterpene synthase was analyzed by bioinformatics. Then the genes bra1-5 that synthesize the brasilicardin A skeleton were directionally amplified from the pathogenic strain N. brasiliensis IFM 0406, and heterologous expression was achieved successfully in Streptomyces albus R1. The compounds were isolated and purified by using various column chromatographies including silica gel column chromatography and semi-preparative HPLC. Six new brasilicardins were established and named brasilicardin H-M. The activity of brasilicardins was screened using lipopolysaccharide (LPS)-activated mouse primary macrophage inflammation model. Brasilicardin H-M exhibited good inhibitory activity on nitric oxide (NO) release with IC₅₀ values of 28.24 ± 3.70, 37.44 ± 2.00, 39.85 ± 4.02, 26.77 ± 4.40, 65.25 ± 1.48 and 15.24 ± 2.72 μmol·L^-1, respectively (indomethacin as the positive control with IC₅₀ value of 34.28 ± 4.10 μmol·L^-1). The results indicated that six compounds had potential anti-inflammatory activity. This study laid a foundation for the elucidation of the brasilicardin A biosynthetic pathway and evaluation of the structure-activity relationship as well as new drug developments.

Objective To investigate the current situation and health effects of indoor microbial pollution in Xi'an, to analyze the purification effect of air purifiers on indoor microbial pollution, and to provide reference for improving the indoor environment. Methods Through stratified random sampling, 20 families from rural areas and 20 families from upwind and downwind urban areas respectively were selected from Xi'an. Data was collected by questionnaire surveys and on-site environmental sampling. Non-parametric analysis and correlation analysis were used for statistical analysis. Results Overall, the standard-exceeding rate of total count of bacteria was 5.00%. The medians of the total count of bacteria and fungi were 312.50 cfu/m3 and 260.00 cfu/m³, respectively. In terms of health effects, the correlation between rhinitis and cold with total bacterial count was statistically significant (P<0.05), with the correlation coefficients of 0.182 and 0.223, respectively. Purification effect of air purifiers on microbial pollution was statistically significant (P<0.05). After opening for 2 hours, the total numbers of bacteria and fungi decreased significantly. Conclusion The occurrence risk of colds and rhinitis is increased by indoor microbial pollution. Air purifiers have a certain effect on decreasing the total number of bacteria and fungi. It is recommended to use air purifiers with high CADR of particulate matter, double-layer filter and sterilization and dehumidification function, and replace the filters regularly to reduce indoor microbiological contamination.

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 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 explore the correlation between peripheral blood B cell count and clinical features and prognosis of patients with newly diagnosed diffuse large B-cell lymphoma(DLBCL).Methods:The relationship of peripheral blood B cell count with clinical features,laboratory indexes and prognosis in 67 patients with newly diagnosed DLBCL was retrospectively analyzed.Results:Patients were divided into low B-cell count group(B cell＜0.1 × 109/L,n=34)and high B-cell count group(B cell&ge;0.1 × 109/L,n=33)according to the median B cell count values.Compared with the high B cell count group,the low B cell count group had a higher proportion of patients with Lugano stage Ⅲ-Ⅳ,elevated LDH,elevated β2-MG and IPI score 3-5 and increased CRP(P=0.033,0.000,0.023,0.001,0.033).The peripheral CD3+and CD4+cell counts of patients in the low B cell count group were significantly lower than those in the high B cell count group(P=0.010,0.017).After initial treatment,overall response rate(ORR)and complete remission(CR)rate in high B cell count group were significantly higher than those in low B cell count group(P=0.032,0.013).The median follow-up time of patients was 23(2-77)months,progression-free survival(PFS)and overall survival(OS)of patients in the high B cell count group were significantly better than those in the low B cell count group(P=0.001,0.002).Univariate analysis showed that pretreatment low B cell count in the peripheral blood was associated with shortened PFS and OS(HR=4.108,P=0.002;HR=8.218,P=0.006).Multivariate analysis showed that low B cell count was an independent prognostic factor for shortened PFS(HR=3.116,P=0.037).Conclusion:Decreased peripheral blood B cell count in newly diagnosed DLBCL patients is associated with high-risk clinical features and may affect the efficacy of immunochemotherapy,which is associated with poor clinical prognosis.

Objective To research superconducting magnetocardiography signal measurement technology and coronary heart disease screening for solving the difficulties in weak magnetocardiography signal measurement,and to verify the value of clinical application.Methods The principle of superconducting magnetocardiography signal measurement technology was analyzed for constructing a framework for superconducting magnetocardiography signal measurement technology.Then,the key circuits such as the host controller,magnetic flux-locked loop,and signal conditioning module were designed,and software systems and core algorithms were developed.Finally,a total of 255 volunteers with healthy hearts,mild myocardial ischemia and severe myocardial ischemia were enrolled in the study,and a comparative experiment was performed between synchronous magnetocardiography and coronary angiography(CAG).Results The peer-to-peer bipolar structure was only observed in the current density vector distribution of healthy subjects instead of myocardial ischemia subjects.The overall coincidence rate,total Kappa value,severe ischemia coincidence rate,mild ischemia coincidence rate and negative coincidence rate of magnetocardiography with CAG were 86.22%,78.21%,86.79%,84.09%and 86.67%,respectively.Magnetocardiography had a sensitivity,specificity,positive rate,negative rate,positive likelihood ratio and negative likelihood ratio of 87.16%,84.41%,86.00%,86.67%,5.98 and 0.08,respectively.Conclusion Magnetocardiography has a high coincidence rate and consistency with CAG in the diagnosis of myocardial ischemia.Superconducting magnetocardiography signal measurement technology can be served as an accurate and reliable screening method for coronary heart diseases.

Objective:To evaluate the clinical application potential of a novel prostate specific membrane antigen (PSMA) targeted PET tracer 68Ga-PSMA-NYM032 in patients diagnosed initially with prostate cancer. Methods:A total of 63 patients (age (68.7±8.7) years) with suspected prostate cancers who received 68Ga-PSMA-NYM032 PET/CT imaging in Affiliated Hospital of Jiangnan University between March 2022 and January 2023 were enrolled prospectively. The diagnostic efficiency of 68Ga-PSMA-NYM032 PET/CT imaging was evaluated in a patient-centered manner. The ROI was drawn to obtain SUV max by semi-quantitative analysis with visual analysis, and the diagnostic threshold of SUV max was obtained by ROC curve analysis. The correlations of SUV max in primary foci with total prostate specific antigen (tPSA) and Gleason score (GS) were analyzed by Spearman rank correlation analysis. Based on the D′Amico risk stratification (prostate specific antigen (PSA)>20 μg/L and ≤20 μg/L, GS>7 and ≤7), the detection rates of metastases by 68Ga-PSMA-NYM032 PET/CT imaging in different stratifications were analyzed by Fisher exact test, and the differences between SUV max of metastases in different stratifications were determined by Mann-Whitney U test. Results:The accuracy of 68Ga-PSMA-NYM032 PET/CT imaging was 92.06%(58/63), the sensitivity was 96.55%(28/29), the specificity was 88.24%(30/34), the positive predictive value was 87.50%(28/32), the negative predictive value was 96.77%(30/31), and the optimal SUV max threshold was 6.9. 68Ga-PSMA-NYM032 showed varying degrees of high uptake in the primary foci of prostate cancer, and SUV max were positively correlated with tPSA and GS ( rs values: 0.657, 0.592, P values: <0.001, 0.001). Stratified analysis showed a statistically significant difference in the detection rate of bone metastases by 68Ga-PSMA-NYM032 PET/CT between the GS>7 and GS≤7 subgroups (9/17 vs 1/12; P=0.019), while no statistical significances were observed in the detection rates of bone metastases or lymph node metastases of another subgroups (all P>0.05). In addition, none of the differences in SUV max of metastases in patients with different stratifications were statistically significant ( z value: from -1.57 to -0.50, all P>0.05). Conclusions:68Ga-PSMA-NYM032 PET/CT imaging has good diagnostic efficacy for prostate cancer, and it may provide a new strategy for the precise diagnosis and treatment of prostate cancer. Besides, GS stratification may affect the detection rate of bone metastases by 68Ga-PSMA-NYM032 PET/CT imaging.