This study proposes a "disease-syndrome-person-symptom" differentiation and treatment model for adolescent depression disorder. Disease differentiation focuses on understanding the developmental and evolutionary characteristics of the disorder. It is proposed that adolescent depression is primarily associated with initial flourishing of kidney qi， insufficiency of the marrow sea， stagnation of liver qi， deficiency of qi and blood， and constraint fire harassing spirit， following a dynamic progression pattern of "constraint-heat-deficiency-depletion". Syndrome differentiation focuses on identifying the underlying pathogenesis at different stages of the disease. During the "constraint" stage， binding constraint of liver qi syndrome and binding constraint of phlegm-qi syndrome are commonly observed. During the "heat" stage， constraint heat harassing the spirit syndrome and phlegm-fire harassing the heart syndrome are frequently encountered. During the "deficiency" stage， non-interaction between the heart and the kidney syndrome， heart-lung yin deficiency syndrome， and deficiency of both the heart and spleen syndrome are common. And during the "depletion" stage， kidney essence depletion and marrow sea emptiness syndrome are predominant. The person-centered approach emphasizes the holistic view of life based on the concept of the unity between humans and nature， as well as the integration of body and mind. It highlights the identification of individual constitution and the treatment of both physical and mental aspects， thereby achieving personalized diagnosis and treatment. The symptom-oriented approach focuses on targeted interventions to rapidly alleviate distressing symptoms and break the vicious cycle of mutual impairment between the body and mind. The "disease-syndrome-person-symptom" differentiation and treatment model aims to provide a systematic， dynamic， and individualized precision framework for the diagnosis and treatment of adolescent depressive disorders with traditional Chinese medicine.

Objective To investigate the influencing factors associated with the risk of positive methylation levels of SHOX2/RASSF1A/PTGER4 genes in patients with pulmonary nodules with TCM susceptibility.Methods Using a cross-sectional study method,totally 165 patients with pulmonary nodules from the Respiratory Department of Wangjing Hospital,China Academy of Chinese Medical Sciences were included from May 2024 to December 2024.Clinical data such as patients'general medical history,nodule imaging reports,lung cancer gene methylation levels,and TCM constitution assessments were organized and statistically analyzed.On the basis of exploring the correlation between various variables and the risk of positive methylation of lung cancer genes through univariate correlation analysis,a binary logistic regression model was used for independent risk factor analysis.Results Univariate correlation analysis showed that age,gender,TCM susceptibility score,diameter of pulmonary nodules and upper lobe of the right lung were correlated with positive methylation levels of the SHOX2/RASSF1A/PTGER4 genes(P=0.03,P=0.02,P=0.01,P<0.01,P=0.03);and binary Logistic regression analysis showed that yang-deficiency quality,qi deficiency,qi depression and phlegm-dampness,the four pulmonary nodules susceptibility body scores were significantly and positively correlated with the risk of SHOX2/RASSF1A/PTGER4 gene methylation positivity.Compared with yang deficiency,phlegm-dampness and qi depression had a higher risk of gene methylation positivity for patients with pulmonary nodules(P=0.04,P=0.02).Conclusion Older age,males,and TCM susceptibility body correlated with the lung cancer gene methylation positive risk are correlated,in which phlegm dampness and qi depression are independent risk factors.

Digital polymerase chain reaction(dPCR)enables absolute quantitative detection of nucleic acid samples.Since the quantitative upper and lower limits of detectable samples mainly depend on the volume and number of single droplets,the abundance of the sample to be tested,the volume of single droplets,and the number of droplets need to be adapted.For samples with unknown abundance,repeated adjustment of droplet size is not allowed.In this study,a one-step double-volume droplet generation method was proposed,and a double-volume droplet microfluidic chip was developed to verify the quantitative detection capability of the chip using a duck-derived kit.The results showed that the droplets with different volumes had different quantitative capabilities.Large-volume droplets had higher reliability for low-abundance sample concentrations,while small-volume droplets had advantages in detecting high-abundance sample concentrations.The double-volume droplets produced by the double-volume droplet microfluidic chip proposed in this study greatly improved the reliability of quantitative capabilities,and had broad application prospects in detection of precious nucleic acid samples with unknown abundance in the field of microfluidic PCR.

Foodborne illnesses caused by Salmonella pose significant threats to worldwide public health safety.In this study,a rapid method for screening viable Salmonella in oyster sauce and milk was developed by utilizing an electronic microbial growth analyzer(EMGA).Target food samples were diluted 10-fold with RVS broth and loaded into test tubes.Test tubes were positioned in the EMGA to determine the bacterial growth curves and the time required to reach the maximum growth rate(Tmgr).Using Salmonella typhimurium(S.typhimurium)asan model species,there was linear relationship between the logarithmic value of viable bacterial concentration(lgC)and Tmgr over the range of 5×101-5×106 CFU/mL,with a detection limit of 10 CFU/mL.For oyster sauce,the regression equation was Tmgr(min)=-80.775lg[C/(CFU/mL)]+754.96(R2=0.9907),and the recovery rates of S.typhimurium ranged from 95.2%to 119.8%,with relative standard deviations(RSD)ranging from 3.5%to 16.3%.For milk,the regression equation was Tmgr(min)=-71.922 lg[C/(CFU/mL)]+618.65(R2=0.9985),with recovery rates ranging from 98.4%to 110.6%and RSD ranging from 6.4%to 12.8%.The EMGA method required only one portable instrument,and involving only three manual steps,i.e.,dilution,transfer,and insertion.When S.typhimurium contamination reached 106 CFU/mL,the total time consumption,from the unwrapping of samples to the readout of bacterial concentration,was no more than 7 h.When applied to detection of actual oyster sauce and milk samples,the new method demonstrated strong consistency with plate counting results in positive detection rates.This method was superior to the plate counting method,which was generally considered as a gold standard,in terms of accuracy,precision,simplicity and efficiency,representing a promising alternative for the on-site screening and quantification of viable Salmonella in oyster sauce and milk products.

Integrated metabolomic and lipidomic profiling,utilizing liquid chromatography coupled with high-resolution mass spectrometry(LC-HRMS),has emerged as a pivotal strategy for biomarker discovery.However,the inherent polarity disparity between metabolites and lipids complicates simultaneous analysis.To address this,a dual-stationary phase polarity-extended liquid chromatography(PELC)system was developed,which surpassed conventional one-dimensional LC(1D-LC)by enabling comprehensive coverage of both polar and non-polar compounds within a single injection.This system enhanced chromatographic resolution,peak capacity,and throughput while minimizing analytical variability.Extracellular vesicles(EVs),lipid bilayer-enclosed nanoparticles ubiquitously present in biofluids,had gained prominence as reservoirs of cancer biomarkers due to their cargo stability and pathophysiological relevance.Herein,the application of PELC-HRMS for concurrent metabolome-lipidome profiling in EVs was pioneered.A total of 193 metabolites were identified using this technique coupled with MS-DIAL software and Human Metabolome Database.Subsequently,this technique was employed to explore potential biomarkers for prostate cancer(PCa).Multivariate analysis identified 17 differentially abundant metabolites in PCa,implicating dysregulated pathways including purine metabolism,starch and sucrose metabolism,galactose metabolism,cysteine and methionine metabolism,and biosynthesis of unsaturated fatty acids.Notably,creatine(AUC=0.92)and DG 42:5(AUC=0.80)demonstrated robust diagnostic efficacy,attributable to their broad polarity ranges and EV-specific enrichment.This study established PELC as a high-fidelity platform for multi-omics integration in complex biospecimens,advancing mechanistic insights into metabolic rewiring and disease pathophysiology.

Sodium-glucose cotransporter 2 inhibitor was initially developed and marketed as a novel oral hypoglycemic agent.Currently,it has been recommended as one of the main therapeu-tic agents for chronic heart failure by national and international guidelines,and it has a significant cardioprotective effect on heart failure with reduced ejection fraction,heart failure with im-proved ejection fraction,heart failure with mildly reduced ejec-tion fraction,and heart failure with preserved ejection fraction.However,cardiac tissues do not express sodium-glucose cotrans-porter 2,and the underlying mechanisms of clinical cardiovascu-lar benefits of sodium-glucose cotransporter 2 inhibitors remain unclear.This review intends to summarize the cardiovascular benefits of sodium-glucose cotransporter 2 inhibitors in clinical trials and the recommendations suggested by national and inter-national heart failure guidelines and to elucidate further the po-tential mechanisms of sodium-glucose cotransporter 2 inhibitor-mediated cardioprotective effects.

Objective:To validate the effectiveness of the leaf position data of multi-leaf collimator (MLC) recorded in the Infinity medical linear accelerator log file (LF).Methods:In this study, the establishment of the film dose calibration curve involved two steps. Initially, the pixel values obtained from scanning the film were converted into net optical density values. Subsequently, a sixth-order polynomial fit was performed on the net optical density and dose data. The picket fence (PF) tests were performed on the electronic portal imaging device (EPID) and film, and the corresponding acquired PF test images were analyzed using the relative leaf travel distance, relative leaf position, relative leaf pair full-width half -maximum (FWHM), and relative leaf pair neighbor region width analysis index, and compared with the relevant results in LF. In addition, to investigate the effect of gravity on the recorded leaf position data by the Infinity medical linear accelerator LF, the above PF tests were executed at 0°, 90°, 180°, and 270° gantry angles, respectively. Intergroup differences were assessed with the Wilcoxon rank-sum test.Results:The film dose calibration curve demonstrated high goodness-of-fit, with a correlation coefficient ( R2) of 0.9994. Across all gantry angles, the dispersion of overall leaf position data for EBT3 film, EPID, and LF followed a consistent pattern based on four analysis metrics: EBT3 film > EPID > LF. Moreover, for each analysis metric, inter-tool differences in standard deviations of results were consistently below 0.1 mm, and this pattern was invariant to gantry angle. Conclusions:The leaf position data recorded in the Infinity medical linear accelerator LF have a high degree of accuracy, and can be used as reference for the actual position of the MLC leaf. Furthermore, gravitational forces exhibit negligible impact on leaf position data acquired via LF.

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 structure of intestinal tissue is complex. In vitro simulation of intestinal structure and function is important for studying intestinal development and diseases. Recently, organoids have been successfully constructed and they have come to play an important role in biomedical research. Organoids are miniaturized three-dimensional (3D) organs, derived from stem cells, which mimic the structure, cell types, and physiological functions of an organ, making them robust models for biomedical research. Intestinal organoids are 3D micro-organs derived from intestinal stem cells or pluripotent stem cells that can successfully simulate the complex structure and function of the intestine, thereby providing a valuable platform for intestinal development and disease research. In this article, we review the latest progress in the construction and application of intestinal organoids.
Organoids/cytology* ; Intestines/physiology* ; Humans ; Animals ; Pluripotent Stem Cells