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.

The identification and optimization of mutations in nanobodies are crucial for enhancing their thera-peutic potential in disease prevention and control.However,this process is often complex and time-consuming,which limit its widespread application in practice.In this study,we developed a work-flow,named Evolutionary-Nanobody(EvoNB),to predict key mutation sites of nanobodies by combining protein language models(PLMs)and molecular dynamic(MD)simulations.By fine-tuning the ESM2 model on a large-scale nanobody dataset,the ability of EvoNB to capture specific sequence features of nanobodies was significantly enhanced.The fine-tuned EvoNB model demonstrated higher predictive accuracy in the conserved framework and highly variable complementarity-determining regions of nanobodies.Additionally,we selected four widely representative nanobody-antigen complexes to verify the predicted effects of mutations.MD simulations analyzed the energy changes caused by these mu-tations to predict their impact on binding affinity to the targets.The results showed that multiple mu-tations screened by EvoNB significantly enhanced the binding affinity between nanobody and its target,further validating the potential of this workflow for designing and optimizing nanobody mutations.Additionally,sequence-based predictions are generally less dependent on structural absence,allowing them to be more easily integrated with tools for structural predictions,such as AlphaFold 3.Through mutation prediction and systematic analysis of key sites,we can quickly predict the most promising variants for experimental validation without relying on traditional evolutionary or selection processes.The EvoNB workflow provides an effective tool for the rapid optimization of nanobodies and facilitates the application of PLMs in the biomedical field.

Objective:The purpose of this study was to investigate the diagnostic value and clinical significance of cochlear microphonics (CM) combined with otoacoustic emission (OAE) in patients with auditory neuropathy (AN).Methods:The study included patients who were diagnosed with bilateral AN and had CM originating from both sides. The CM amplitude, latency, duration and intensity-amplitude (I/O) function curve were recorded by CM test. According to whether the distortion product otoacoustic emissions (DPOAE) passed through, the patients were divided into three groups: bilateral OAE passed group (OAE PP Group), bilateral OAE failed group (OAE RR Group), and unilateral OAE passed through one side failed group (OAE PR Group). OAE was elicited by four or more frequencies of 750-8 000 Hz. The characteristics of CM and its related influencing factors were analyzed, and data were processed and analyzed by SPSS 26.0 software. Results:(1) A total of 256 patients (512 ears) with AN were enrolled, including 161 patients (322 ears) in OAE PP group, 32 patients (64 ears) in OAE PR group and 63 patients (126 ears) in OAE RR group. OAE failed in 30.9% of patients with AN. (2) When the stimulation intensity was 100 dB nHL, the CM amplitude of OAE passing ear (OAE P+CM P group) in AN patients aged 3 years was 0.43±0.17μV, which was significantly higher than that of OAE not passing ear (OAE R+CM P group) (0.29±0.15) μV ( t=4.876， P<0.001). The CM duration of the OAE P+CM P group was (5.18±1.04) ms, which was longer than that of the OAE R+CM P group at 4.60±1.12 ms ( P=0.005). The I/O function curve of OAE P+CM P group showed a nonlinear trend, while, that of OAE R+CM P group showed a linear trend. (3) In the OAE P+CM P group of AN patients, the amplitude of CM was negatively correlated with the onset age, test age, disease course, PTA, and ASSR threshold ( P<0.001), with correlation coefficients of r=-0.475, r=-0.519, r=-0.367, r=-0.374, and r=-0.494, respectively. In the OAE R+CM P group of AN patients, the amplitude of CM was negatively correlated with the onset age, test age, and ASSR threshold ( P<0.05), with correlation coefficients of r=-0.271, r=-0.240, and r=-0.287, respectively. Conclusions:Excluding patients with high-frequency steeply sloping hearing loss, when ABR is absent or abnormal and OAE is absent, CM detection can reduce the rate of missed diagnosis of AN. The analysis of CM amplitude and I/O function curve is helpful to determine the lesion site of AN patients, which is convenient for early diagnosis and effective intervention.

Objective To construct a nomogram model for prolonged length of stay in patients with acute cerebral infarction(ACI)based on total cerebral small vessel disease(CSVD)burden scores,and validate its effectiveness.Methods A total of 462 ACI patients admitted to the Department of Neurology of South Taihu Hospital Affiliated To Huzhou College from January 2021 to December 2023 were selected as the study subjects.According to the ratio of 7:3,patients were divided into training group of 323 cases and validation group of 139 cases.Lasso-Logistic regression was used to analyze the risk factors for prolonged length of stay in ACI patients,construct a nomogram model and validate the model using validation data.Receiver operating characteristic(ROC)curve were used to evaluate the predictive performance of the model.Results Based on the training group data,Lasso regression screened four non-zero coefficient indicators,including baseline National Institutes of Health stroke scale(NIHSS)score,age-adjusted Charlson comorbidity index(aCCI)score,neutrophil to lymphocyte ratio(NLR)and total CSVD burden score.Multivariate Logistic regression analysis showed that baseline NIHSS score,aCCI score,NLR and total CSVD burden score were independent risk factors for prolonged length of stay in ACI patients(P＜0.05).Based on the above four indicators,a nomogram model was constructed.The results showed that the ROC curve area of the model predicted prolonged length of stay between training group and validation group were 0.812(95％CI:0.756-0.868)and 0.820(95％CI:0.730-0.909).Conclusion The nomogram model for prolonged length of stay in ACI patients based on total CSVD burden score has good predictive performance and can be used as a screening tool for evaluating the prolonged length of stay in ACI patients.

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.

Objective:To explore the feasibility and and clinical efficacy of lingual mucosa replacement ureteral stenosis repair and plasty for the treatment of long segment ureteral polyps.Methods:Clinical data of 3 patients (4 sides) with long-segment ureteral polyps admitted to the Second Hospital of Lanzhou University from October 2017 to October 2019 were retrospectively analyzed. Two cases were male and one case was female. The ages were22, 16, and 45 years old. Preoperative urologic ultrasound, CT urography and ureteroscopy were performed. The lesions were located on the left side in 3 cases and on the right side in 1 case; the stenosis was located in the middle and upper ureter; the length of the ureteral stenosis was 6, 7, 6, and 6 cm, respectively; and the preoperative blood creatinine was 72, 85, and 70 μmol/L, respectively. Three cases underwent ureteral stenosis repair and plasty with tongue mucosal substitution. During the operation, the ureter was fully exposed and longitudinally incised, polyps were removed, and 7.0-10.0 cm long and 1.5-2.0 cm wide lingual mucosa was harvested according to the length of the stenosis, and then the lingual mucosa was transplanted to the muscular layer and the inner surface of the sheath in the stenosed ureter, fixed with 6-0 thread until the muscular layer was rolled into shape and wrapped with a large omentum. All of them left one double-J tube in the ureter on the affected side. Perioperative results and complications were recorded. The patients' blood creatinine and anterior and posterior renal pelvic diameters were compared before and after treatment.Results:In our study, all three 4-sided surgeries were successfully completed without any serious intraoperative or postoperative complications (Clavien-Dindo score ≥ grade Ⅲ). Mean surgical. Time was (240.0±49.0) min, intraoperative bleeding was 50 ml, postoperative drain retention time was (6.3±2.5) d, and median postoperative hospitalization time was 6.5(3, 9)d. The double J-tube was removed at 3 months postoperatively, and renal function and imaging tests were reviewed. Because the postoperative follow-up results of patient 1 were missing, the mean value of blood creatinine in the other 2 patients was 73.0 μmol/L at 3 months postoperatively, which was significantly improved compared with the preoperative value of 58.2 μmol/L, and the difference was statistically significant ( P < 0.05). And the average value of anterior and posterior renal pelvic separation diameters of the other 2 patients after surgery was <5 mm, which was significantly improved compared with the preoperative value of 17.9 mm, but the difference was not statistically significant ( P>0.05).There was no restenosis in all 2 patients after surgery, and the intravenous urography showed that the ureter was patent after the surgery, and the degree of urinary obstruction did not aggravate. The group was followed up for 3 to 8 months (mean 4.7 months), and no recent complications have occurred so far. Conclusions:Lingual mucosa replacement ureteral stenosis repair and plasty for the treatment of ureteral polyps in the long segment has a high success rate and precise efficacy, and its operation is feasible.

Objective:To compare the mydriatic effects of a combination of 1% tropicamide and 2.5% phenylephrine with a 0.5% tropicamide and 0.5% phenylephrine combination in patients with type 2 diabetes.Methods:A randomized, double-blind, controlled trial was conducted.Ninety Chinese patients (90 eyes) with dark irises and type 2 diabetes who needed mydriasis examination at the Fundus Disease Clinic of Tianjin Medical University Eye Hospital from June to September 2024 were included.The subjects were divided into control group (30 patients 30 eyes), high concentration group (30 patients 30 eyes) and half-dilution group (30 patients 30 eyes) using the random number table method, which received 2 drops of a mixture of 0.5% tropicamide and 0.5% phenylephrine, 2 drops of a mixture of 1% tropicamide and 2.5% phenylephrine, 1 drop of a mixture of 1% tropicamide and 2.5% phenylephrine+ 1 drop of saline respectively.The pupil diameter of the patients was measured with a pupillometer 40 minutes before and after instillation.The study adhered to the Declaration of Helsinki and the study protocol was approved by the Ethics Committee of Tianjin Medical University Eye Hospital (No.2024KY-16).Written informed consent was obtained from all participants.Results:The proportions of patients whose pupil diameters reached 7 mm 40 minutes after the initial administration in the control group, high-concentration group, and half-dilution group were 56.7%(17/30), 86.7%(26/30) and 66.7%(20/30), respectively, with a statistically significant overall difference ( χ2=6.667, P=0.036).The proportion of patients in the high-concentration group whose pupil diameter reached 7 mm 40 minutes after the initial administration was higher than that in the control group, and the difference was statistically significant ( P<0.05).The pupil diameters 40 minutes after the initial administration in the control group, the high-concentration group and the half-dilution group were (7.01±0.86), (7.64±0.61) and (7.49±1.15)mm, respectively, with a statistically significant overall difference ( F=4.019, P=0.021), and the pupil diameter of the high-concentration group was significantly higher than that of the control group ( P=0.024).Changes in pupil diameter 40 minutes after the initial administration in the control group, high-concentration group and half-dilution group were (3.23±0.81), (3.82±0.60) and (3.62±0.75)mm, respectively, with a statistically significant overall difference ( F=5.121, P=0.008), and the change in pupil diameter in the high-concentration group was higher than that in the control group ( P=0.007). Conclusions:The combination of 1% tropicamide and 2.5% phenylephrine has better pupil dilation than the combination of 0.5% tropicamide and 0.5% phenylephrine.It is recommended that pupil dilation be performed with a high-concentration mydriatic drug prior to outpatient fundus examination for diabetic patients.

Objective:To analyze the differentially expressed genes and related functional pathways of mouse sciatic nerves of Schwann cells(SCs)in early in vitro Wallerian degeneration(WD).Methods:The sciatic nerves of adult male C57BL/6J mice were Wallerian degeneration in vitro,and total RNA was extracted and transcriptome sequencing was performed at 3 h and 6 h after degeneration,respectively.The differentially expressed genes(DEGs),gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment were analyzed by bioinformatics.Results:Compared with the Control group,3961 and 5538 DEGs were screened in the WD 3 h group(WD3h)and the 6 h group(WD6h)of in vitro,respectively.The most significantly up-regulated genes mainly included molecules related to inflammation and immunity and neurotrophic factors.GO analysis showed that DEGs in both groups were enriched in positive transcriptional regulation and metabolic processes.KEGG pathway enrichment analysis revealed that DEGs were mainly concentrated in TNF signaling pathway,MAPK signaling pathway and ribosome production.Conclusion:At the early stage of WD,SCs up-regulates the genes related to inflammation and immunity to promote the progression of WD and secrete neurotrophic factors to support the survival of neurons,accompanied by the activation of TNF signaling path-way and MAPK signaling pathway.