The philosophy of “treating disease before its onset” is a fundamental concept of traditional Chinese medicine (TCM), permeating its diagnostic and therapeutic framework, and is central to clinical practice. However, current TCM diagnostic and treatment models for the “pre-disease to disease” window period face several limitations, including the lack of comprehensive clinical parameters, difficulties in characterizing and integrating heterogeneous multimodal data, and insufficient dynamic precision in interventions and efficacy evaluations. To address these issues, guided by Professor Candong Li’s theory of TCM stateology, this study focuses on integrating objective multimodal data. It proposes a new model for personalized TCM diagnosis and treatment targeting the “pre-disease to disease” window period. This approach first proposes the idea of restructuring the conceptual framework of “symptom” and integrating multi-source heterogeneous data at macroscopic, mesoscopic, and microscopic levels to form a three-dimensional assessment indicator system. By integrating graph neural networks, convolutional neural networks, attention mechanisms, and knowledge graph-guided weight allocation, this approach enables collaborative representation, alignment, and fusion of multi-source data. Subsequently, it plans to construct a multimodal fusion model at both feature and decision levels, in order to establish mappings between indicators and TCM state elements, and to screen key indicators characterizing pathological evolution during the window period. Furthermore, it proposes a technical path for enhancing model interpretability using methods such as SHapley Additive exPlanations (SHAP) and Ablation-CAM++. Finally, with state assessment as the core, it proposes the concept of constructing a dynamic evaluation method for individualized diagnosis and treatment based on time-series data analysis using algorithms such as long short-term memory (LSTM) networks and gated recurrent units (GRUs). Moreover, a causal inference framework and semi-supervised learning strategies are introduced to enable quantitative evaluation of individual intervention effects and to provide interpretable therapeutic feedback, forming a complete technical path from data representation and fusion, weight adjustment, and interpretability analysis, to dynamic diagnosis feedback. This study aims to address deficiencies in the current TCM diagnosis and treatment model during the “pre-disease to disease” window period and to provide an operational framework for the clinical practice of TCM’s “treating disease before its onset”.

OBJECTIVE To construct a risk prediction model for nonattainment plasma concentration of zonisamide in children with epilepsy， and to provide evidence for individualized dosing.METHODS Children with epilepsy who received standardized zonisamide treatment orally in Kunming Children’s Hospital were retrospectively selected as research subjects. Those treated from May 2022 to May 2024 were included in the modeling cohort， and those treated from June 2024 to January 2025 were included in the external validation cohort. According to plasma concentration， children were divided into therapeutic group and nonattainment group. Independent influencing factors for nonattainment plasma concentration of zonisamide were screened by collinearity diagnosis， univariate analysis， Lasso regression and random forest， based on which a nomogram risk prediction model was constructed and validated. Finally， the Shapley additive explanations （SHAP） method was used to interpret the features of the nomogram risk prediction model.RESULTS A total of 945 children with epilepsy were included in this study. There was no statistically significant difference in baseline data between the modeling cohort （531 cases） and the external validation cohort （414 cases） （ P ＞0.05）， indicating comparability. Through multi-stage feature screening， seven influencing factors were finally included to construct the prediction model， namely gender， age， dosage， aspartate transferase， total bilirubin， uric acid and vitamin D. The corrected area under the curve of the model was 0.799 in the modeling cohort and 0.762 in the external validation cohort， showing good calibration and clinical applicability. SHAP analysis showed that gender， dosage， total bilirubin， age and aspartate transferase were the top five important variables affecting model prediction.CONCLUSIONS The nomogram risk prediction model for nonattainment plasma concentration of zonisamide constructed in this study has stable predictive performance. Clinically， the risk of nonattainment plasma concentration can be quickly assessed by combining the child’s gender， age， dosage， liver and kidney function， and vitamin D， and the dosing regimen can be adjusted in time.

Idiopathic pulmonary fibrosis (IPF), a chronic interstitial lung disease, is characterized by aberrant wound healing, excessive scarring and the formation of myofibroblastic foci. Although the role of alternative splicing (AS) in the pathogenesis of organ fibrosis has garnered increasing attention, its specific contribution to pulmonary fibrosis remains incompletely understood. In this study, we identified an up-regulation of serine/arginine-rich splicing factor 7 (SRSF7) in lung fibroblasts derived from IPF patients and a bleomycin (BLM)-induced mouse model, and further characterized its functional role in both human fetal lung fibroblasts and mice. We demonstrated that enhanced expression of Srsf7 in mice spontaneously induced alveolar collagen accumulation. Mechanistically, we investigated alternative splicing events and revealed that SRSF7 modulates the alternative splicing of pyruvate kinase (PKM), leading to metabolic dysregulation and fibroblast activation. In vivo studies showed that fibroblast-specific knockout of Srsf7 in conditional knockout mice conferred resistance to bleomycin-induced pulmonary fibrosis. Importantly, through drug screening, we identified lomitapide as a novel modulator of SRSF7, which effectively mitigated experimental pulmonary fibrosis. Collectively, our findings elucidate a molecular pathway by which SRSF7 drives fibroblast metabolic dysregulation and propose a potential therapeutic strategy for pulmonary fibrosis.

OBJECTIVES: To analyze bone mass distribution and the factors affecting bone mass in a general Chinese Han cohort undergoing physical examinations at our center. METHODS: We retrospectively collected the data of bone mineral density (BMD) measurements from 30 599 healthy Han Chinese adults (age≥20 years) who underwent dual-energy X-ray absorptiometry scans at our hospital from July, 2013 to July, 2023. Basic parameters including height, body weight, and gender were recorded, and descriptive statistics and correlation analyses were performed using R software. RESULTS: In this cohort, the male individuals had a mean peak BMD of 1.00±0.12 g/cm² in the lumbar vertebrae, 0.94±0.14 g/cm² in the femoral neck, and 0.99±0.13 g/cm² in the total hip, significantly higher than the values in the female individuals [0.99±0.12 g/cm² in the lumbar vertebrae (P=0.022), 0.79±0.11 g/cm² in the femoral neck (P<0.001), and 0.88±0.11 g/cm² in the total hip (P<0.001)]. In the overall cohort, the BMD values of the lumbar spine and femur decreased with age after reaching their peak levels. There was a positive correlation between BMD value and body mass index (BMI) in both male and female individuals. The 2013-2014 period recorded the lowest BMD values in the lumbar, hip, and femoral neck, which tended to increase steadily in the following years (2015-2023). CONCLUSIONS Our data suggest that the BMD values vary among different populations, and future multi-center studies using more accurate BMD detection technology are warranted to capture the variation patterns of BMD with demographic characteristics of specific populations.
Humans ; Bone Density ; Absorptiometry, Photon ; Male ; Female ; Retrospective Studies ; Osteoporosis/diagnostic imaging* ; Adult ; Middle Aged ; Lumbar Vertebrae/diagnostic imaging* ; China/epidemiology* ; Femur Neck/diagnostic imaging* ; Aged ; Beijing/epidemiology* ; Young Adult

OBJECTIVE To establish a quantitative analysis of multi-components by single-marker （QAMS） method for simultaneous determination of six flavonoids and two phenolic acids in Perilla frutescens leaves using scutellarin and rosmarinic acid as internal reference substances， and apply this method to determine the contents of eight components in 20 batches of P. frutescens leaves samples from different regions. METHODS Scutellarin served as the internal reference to calculate relative correction factors （RCFs） for scutellarin-7-O-diglucuronide， luteolin-7-O-diglucuronide， apigenin-7-O-diglucuronide， luteolin-7-O- β-D-glucuronide and apigenin-7-O-glucuronide. Rosmarinic acid was employed as the internal reference to determine the RCF for caffeic acid. The contents of the above flavonoids and phenolic acids were calculated with QAMS， and compared with the results of external standard method. RESULTS The eight analytes demonstrated excellent linearity within their respective concentration ranges （r≥0.999 0）. The mean recovery rates for spiked samples ranged from 95.60% to 102.15%， with relative standard deviations （RSDs） of 0.72% to 2.70% （n＝6）. The method exhibited good precision， repeatability， and stability （RSD＜2.50%， n＝6）. Variations in instruments， columns， column temperature， flow rate， and formic acid volume fraction had minimal impact on the RCFs （RSD＜3%， n＝3）. Comparison with the external standard method showed no significant differences in the content of each component across batches， except for caffeic acid in the ZS12 batch （absolute value of RE＜5%， n＝2）. The contents of six CARS-21） flavonoid components in P. frutescens leaves samples varied significantly across different geographic origins， while the content of total flavonoids showed no significant difference. In contrast， the contents of two phenolic acid components and total phenolic acid exhibited significant variation among samples from different regions. CONCLUSIONS The developed QAMS method can simultaneously determine the contents of six flavonoids and two phenolic acids in P. frutescens leaves. It is convenient for detection， highly accurate， and cost-effective. This method is suitable for the quality control of P. frutescens leaves， and the variation of flavonoid and phenolic acid content in samples from different regions provides a reference for the selection of optimal cultivation areas.

ObjectiveTo explore the effectiveness and potential mechanism of Shugan Jianpi Granules （疏肝健脾颗粒） combined with Chushi Zhiyang Ointment （除湿止痒软膏） in the treatment of atopic dermatitis with sleep disturbance of liver constraint and spleen deficiency syndrome. MethodsSixty-six patients with atopic dermatitis combined with sleep disturbance of liver constraint and spleen deficiency syndrome were randomly divided into 33 cases each in the treatment group and the control group. Both groups were treated with Chushi Zhiyang Ointment for external use. The treatment group additionally received Shugan Jianpi Granules orally， one dose per day； and the control group received cetirizine hydrochloride tablets orally， 10mg per day， taken before bedtime. Both groups were under the treatment for 4 weeks. Clinical effectiveness was evaluated after treatment， and the SCORing Atopic Dermatitis （SCORAD） index， pruritus visual analog scale （VAS） score， Insomnia Severity Index （ISI） score， and Pittsburgh Sleep Quality Index （PSQI） score were recorded before and after treatment， and serum levels of melatonin （MLT）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-13 （IL-13）， and tumor necrosis factor-α （TNF-α） were measured. The patients were also tested for blood routine， liver function and kidney function before and after treatment， and the occurrence of adverse events was also observed. ResultsThe total effective rate in the treatment group （90.63%， 29/32） was significantly higher than that in the control group （66.67%， 20/30， P＜0.05）. After the interventions， the scores for SCORAD， VAS， ISI， and PSQI， as well as the levels of IL-4， IL-6， IL-13， and TNF-α， were significantly reduced in both groups. In contrast， the MLT levels in treatment group significantly elevated compared to that before treatment （P＜0.05）. Comparing between the two groups after treatment， the scores of SCORAD， ISI， PSQI， and VAS， as well as the levels of serum IL-4 and IL-13 in the treatment group were significantly lower than those in the control group， while the MLT levels were markedly higher than that in the control group （P＜0.05 or P＜0.01）. There was no obvious abnormality in blood routine， liver function and kidney function in both groups when compared before and after treatment. The incidence rate of adverse reactions was 9.38% （3/32） in the treatment group and 13.33% （4/30） in the control group， and the difference between groups showed no statistical difference （P＞0.05）. ConclusionOn the basis of topical application of Chushi Zhiyang Ointment， the combined application of Shugan Jianpi Granules can significantly alleviate the degree of skin lesions and itching， and improve the quality of sleep in atopic dermatitis patients with sleep disturbance of liver constraint and spleen deficiency syndrome， and its mechanism may be related to regulating the immune balance， reducing the secretion of inflammatory factors， and elevating the level of MLT.

BACKGROUND: Pulse indicated continuous cardiac output (PiCCO) has largely replaced Swan-Ganz catheterization in shock patients. However, whether PiCCO monitoring can improve outcomes of shock patients, such as mortality, length of hospital stay, duration of mechanical ventilation, or laboratory parameters, remains unknown. METHODS: This retrospective cohort study included patients with shock in the intensive care unit (ICU) from January 2013 to January 2020. Patients were divided into PiCCO group and non-PiCCO group based on treatment with PiCCO monitoring or not. Demographic characteristics, Acute Physiology and Chronic Health Evaluation (APACHE) II scores, quick Sequential Organ Failure Assessment (qSOFA) scores, 14-day mortality, and N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels at 0, 1, 3 and 7 days after onset of shock, duration of mechanical ventilation, length of hospital stay and hospitalization costs were compiled and analyzed using propensity score matching (PSM). RESULTS: Real-world analysis of 1,583 ICU patients suffering shock after propensity score matching revealed that 14-day mortality did not differ between PiCCO and non-PiCCO groups (36.2% vs. 32.6%, P=0.343). Duration of mechanical ventilation, hospital stay, and hospitalization costs were also similar between the two groups (P>0.05). No differences in changes of NT-proBNP levels on days 0, 1, 3, and 7 as compared to baseline were noted between the two groups (P>0.05). CONCLUSIONS: The results of our real-world indicate that PiCCO monitoring may not shorten the duration of mechanical ventilation, length of hospital stay, or reduce hospitalization costs, nor will it bring survival benefits to ICU patients suffering shock.

Objective:To investigate the inpact of thyroid cancer-derived cancer-associated fibroblasts(CAF) autophagy on papillary thyroid cancer(PTC).Methods:CAF and normal fibroblasts were isolated from cancerous and adjacent normal thyroid tissues from four PTC patients. Expressions of fibroblast activation protein(FAP) and α-smooth muscle actin in cells were assessed. Conditioned medium of CAF and normal fibroblasts were prepared and used to culture PTC cells. The effects of CAF and normal fibroblasts on survival, proliferation, migration, invasion and iodine uptake of PTC cells were evaluated through cell proliferation assay, cell scratch assay, cell invasion assay, and cell iodine uptake assay. The autophagy level of CAF was also evaluated. Autophagy inhibition and activation were used to regulate the autophagy of CAF, and then their effects on PTC cell proliferation, migration and invasion were further evaluated. The in vivo effect of CAF autophagy on PTC xenograft tumor growth was evaluated.Results:CAF exhibited higher FAP expression and basal autophagy levels. PTC cells co-cultured with CAF-conditioned media showed enhanced proliferation, migration, invasion, and reduced iodine uptake. Autophagy inhibition reduced these effects, while autophagy activation further promoted them. In vivo, inhibiting CAF autophagy suppressed tumor growth.Conclusions:CAF promotes PTC cell malignancy through autophagy activation, enhancing proliferation, migration, and invasion while reducing iodine uptake.

Objective:To investigate the level of urinary serine protease(Corin) in early diabetic kidney disease(DKD) and its correlation with clinical stage.Methods:One hundred and seventy-three patients with type 2 diabetes mellitus(DM) from two tertiary A hospitals in Henan, diagnosed between April 2023 and December 2023 were selected as the research group, and 120 healthy subjects were selected as the control group. Basic clinical information and laboratory data were collected, and urinary Corin level was detected. DM patients were classified into G1-G5 stages based on estimated glomerular filtration rate(eGFR), and those in the early DKD stages(G1-G3) were further divided into A1-A3 subgroups based on urinary albumin/creatinine ratio(ACR). Spearman correlation analysis was performed to assess relationships between urinary Corin and other indicators, linear regression analysis identified factors influencing urinary Corin in early DKD patients, logistic regression analysis evaluated the risk factors for early DKD, and receiver operating characteristic(ROC) curve analysis determined the diagnostic value of urinary Corin in early DKD. Results:Urinary Corin levels were significantly higher in early DKD patients compared to healthy controls, with levels increasing as ACR rose( P<0.05). Urinary Corin was positively associated with serum creatinine( r=0.570), urea( r=0.458), cystatin C( r=0.693), ACR( r=0.616), urinary transferrin( r=0.448), urinary α1 microglobulin( r=0.507), urinary n-acetyl-β-D-glucosaminase( r=0.388) and A subgroup( r=0.692) while was negatively correlated with eGFR( r=-0.647), albumin( r=-0.312)(all P<0.05). eGFR was the only independent factor affecting urinary Corin. After adjusting for confounding factors in logistic regression analysis, urinary Corin was still an independent influencing factor for early DKD. ROC curve analysis indicated that urinary Corin had a diagnostic AUC of 0.842(95% CI 0.791-0.892, P<0.001), with a cut-off value of 2 226.04 pg/mL, sensitivity of 0.712, and specificity of 0.858 for early DKD diagnosis. Conclusions:Urinary Corin was elevated in early DKD patients and correlated with clinical stage. Urinary Corin is an independent factor of early DKD, and a reliable predictor of early DKD diagnosis.