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

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"re-modeling the periodontal inflammatory microenvironment and optimizing tissue repair and regeneration".They have elucidated the mechanisms underlying the persistence of periodontitis,developed bioactive ma-terials 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 microenviron-ment;(2)Explaining the mechanisms by which nanomaterial structures and electroactive interfaces regu-late stem cell behavior,developing optimized nanostructures and electroactive biomaterials,thereby effec-tively 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 technologi-cal 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.

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≥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 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.

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.

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.

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.

OBJECTIVES: To observe the effects of electroacupuncture (EA) at "Neiguan" (PC 6) and "Zusanli"(ST 36) on the gastric emptying rate, the level of serotonin (5-HT) and the protein expression of motilin (MTL), ghrelin, substance P (SP) and vasoactive intestinal peptide (VIP) in the antral tissue of the rats with functional dyspepsia (FD) and explore the effect mechanism of EA in treatment of FD. METHODS: A total of 21 SPF male SD rat pups were randomly divided into a normal group, a model group and an EA group, with 7 rats in each group. In the model group and the EA group, FD model was prepared by the gavage with 0.1% sucrose iodoacetamide solution combined with the modified small platform method. After the successful modeling, EA was applied to "Neiguan" (PC 6) and "Zusanli"(ST 36) in the rats of the EA group, with disperse-dense wave, 20 Hz/100 Hz in frequency, stimulated for 30 min, once daily, for 7 days consecutively. Before and after intervention, the general condition of the rats was observed in each group. After the completion of intervention, the gastric emptying rate was measured, the morphological changes of gastric antral tissue were observed using HE staining, the level of 5-HT was detected with ELISA method, and the protein expression of MTL, ghrelin, SP, and VIP was determined with Western blot method in the antral tissue of rats. RESULTS: In the normal group, the rats were in a good mental state, with lustrous fur, flexible movement and the increase of food intake and body mass. In the model group, the rats were poor in mental state, lack of lustre in fur, preference for the body curled up, reduced activity and response; and a part of rats had loose stool, obviously enlarged gastric body and gastric food retention. In the EA group, the general condition of rats, e.g. the mental state, food intake and activity, were improved, the gastric body got smaller obviously and the gastric food retention was reduced when compared with the model group. The antral structure was intact, the glands were rich and no injury of the gastric mucosa was found, e.g. inflammatory reaction and edema in the rats of each group. Compared with the normal group, the gastric emptying rate was decreased (P<0.01), 5-HT level was increased (P<0.01), the protein expression of MTL and ghrelin was reduced (P<0.01) and that of VIP was elevated (P<0.01) in the rats of the model group. The gastric emptying rate was increased (P<0.01), 5-HT level was decreased (P<0.01), and the protein expression of MTL and ghrelin was elevated (P<0.05, P<0.01) in the rats of the EA group when compared with those in the model group. CONCLUSIONS Electroacupuncture at "Neiguan" (PC 6) and "Zusanli"(ST 36) may effectively relieve gastric dysfunction, strengthen gastric motility and promote gastric emptying so as to alleviate the symptoms of dyspepsia in FD rats, and its mechanism may be related to the regulation of gastrointestinal hormones in the antral tissue.
Rats ; Male ; Animals ; Electroacupuncture ; Dyspepsia/therapy* ; Rats, Sprague-Dawley ; Ghrelin ; Gastrointestinal Hormones ; Serotonin ; Vasoactive Intestinal Peptide ; Acupuncture Points