Precancerous lesions of gastric cancer （PLGC） are a group of pathological changes caused by abnormalities in the structure， morphology， and differentiation of gastric mucosal epithelial cells. Since the early symptoms are hidden and non-specific， PLGC is not easy to be diagnosed and it has often developed into intermediate or advanced gastric cancer once being diagnosed and missed the best time for treatment. Accordingly， the incidence of this disease is increasing year by year， which lifts a heavy burden on the patients. The pathogenesis of PLGC is complex， involving inflammatory microenvironment， bile reflux， glycolysis， autophagy， and apoptosis. Currently， PLGC is mainly treated with anti-inflammatory and endoscopic therapies， which are difficult to curb the development of PLGC. Therefore， seeking a safe and effective therapy is an important topic of modern research. Traditional Chinese medicine （TCM）， characterized by treatment based on syndrome differentiation and a holistic view， exerts effects via multiple pathways， mechanisms， and targets. Recent studies have confirmed that TCM can regulate the phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR）， Wnt/β-catenin， Sonic Hedgehog， nuclear factor-κB （NF-κB）， Janus kinase/signal transducer and activator of transcription （JAK/STAT）， hypoxia-inducible factor-1α （HIF-1α）， neurogenic locus notch homolog protein （Notch）， nuclear factor E₂-related factor 2 （Nrf2） and other signaling pathways. By targeting these pathways， TCM can inhibit aerobic glycolysis， reduce oxidative stress， repair the inflammatory microenvironment， regulate cellular autophagy， and promote vascular normalization， thereby delaying or reversing PLGC. However， few researchers have systematically summarized the TCM regulation of PLGC-associated pathways. By reviewing the relevant articles at home and abroad， this paper summarized the roles of the above signaling pathways in the development of PLGC and the research progress in the regulation of signaling pathways by TCM in the treatment of PLGC， with a view to providing a new theoretical basis for the clinical research on PLGC and the drug development for this disease.

Objective To investigate the effects and mechanisms of silica dust on the apoptosis of alveolar epithelial cell (AEC) through in vitro and animal experiments. Methods i) In vitro experiment. A549 cells were stimulated with 100 mg/L silica suspension for 0, 12, 24 and 48 hours. The cell apoptosis rate was detected by flow cytometry. ii) Animal experiment. Specific pathogen-free male C57BL/6 mice were randomly divided into control, 14-day, 28-day, and 56-day groups, with five mice in each group. The mice in the control group were sacrificed at 56 days after being treated with 40.0 μL 0.9% sodium chloride solution, and the mice in the last three groups were sacrificed at 14, 28 and 56 days after being treated with 40.0 μL silica suspension with a mass concentration of 125 g/L via tracheal exposure method. The lung tissues of mice were collected to measure lung organ coefficients. Masson staining was used to detect the degree of pulmonary fibrosis, and Ashcroft scores were evaluated. The apoptosis of AEC in mice was observed by TUNEL immunofluorescence assay. iii) The mRNA relative expression of apoptosis-related genes in A549 cells and mouse lung tissue was detected using reverse transcription and real-time fluorescence quantitative polymerase chain reaction. Results i) In vitro experiment. The apoptosis rate of A549 cells increased with longer silica exposure (all P<0.05). The relative expression of B cell lymphoma-2 (BCL-2) mRNA in A549 cells in 24 h group and 48 h group decreased (both P<0.05), and the relative expression of BCL-2 associated X protein (BAX) mRNA increased (both P<0.05), compared with 0 h group. The mRNA relative expression of caspase (CASP) -3 and CASP-9 in A549 cells increased with longer silica exposure (all P<0.05). ii) Animal experiment. The lung organ coefficients and Ashcroft score in mice progressively increased (all P<0.05), the degree of pulmonary fibrosis was gradually aggravated, and TUNEL positive cells in lung tissue were gradually increased, while Bax, Casp-3 and Casp-9 mRNA relative expression increased with longer silica exposure (all P<0.05). Conclusion Silica dust may cause pulmonary fibrosis by inducing apoptosis of AEC, with a time-dependent effect. The mechanism may be related to the effect of silica dust on mitochondrial apoptosis through Bcl-2/Bax/Caspase-3 signaling pathway.

OBJECTIVES: To evaluate the effectiveness and safety of deucravacitinib in Chinese patients with moderate-to-severe plaque psoriasis. METHODS: This retrospective study included 41 patients with moderate-to-severe plaque psoriasis treated with deu-cravacitinib 6 mg once daily for 16 weeks at the First Affiliated Hospital of Wenzhou Medical University between January and September 2024. Effectiveness was assessed by the psoriasis area and severity index (PASI), static physician's global assessment (sPGA), palmoplantar psoriasis area and severity index (PPASI), modified nail psoriasis severity index (mNAPSI), and dermatology life quality index (DLQI) at baseline, 4, 8, 12 and 16 weeks after treatment. Adverse events during treatment were recorded. Laboratory parameters, including complete blood count, liver and kidney function, electrolytes, and lipids, were assessed at baseline, 8, 16 weeks after treatment to evaluate safety. Univariate and multivariate logistic regression analyses were performed to explore factors associated with achieving PASI75 at week 16, using baseline characteristics as independent variables. RESULTS: Significant reductions from baseline in PASI and DLQI scores were observed from week 4 through week 16 (all P<0.01). Overall response rates for PASI75, PASI90, PASI100, sPGA 0 or 1 grade, and DLQI 0 or 1 point increased progressively over the treatment period. 75, 90, and 100 refer to a score reduction of at least 75%, at least 90%, and 100%, respectively, from baseline. Response rates of PASI75, PASI90, PASI100 for the scalp, limbs, and trunk, PPASI75, PPASI90, PPASI100 for palmoplantar lesions, and mNAPSI75, mNAPSI90 for nail lesions increased progressively over time but with different trends. Scalp lesions improved most markedly from week 4, followed by the limbs, whereas improvements in trunk and palmoplantar lesions were relatively slower. Nail lesions responded more slowly, with only 20% of patients achieving marked improve-ment at week 16. Deucravacitinib demonstrated good tolerability and compatibility with concomitant medications. No severe adverse events were reported, indicating a favorable safety profile. Multivariate logistic regression analysis revealed no significant association between the achievement of PASI75 response at week 16 and patient age, body mass index, disease duration, or baseline PASI, sPGA, or DLQI scores (all P>0.05). CONCLUSIONS In this real world study of Chinese patients with moderate-to-severe plaque psoriasis, deucravacitinib demonstrated favorable effectiveness and safety over 16 weeks of treatment.
Humans ; Psoriasis/drug therapy* ; Retrospective Studies ; Male ; Female ; Middle Aged ; China ; Adult ; Treatment Outcome ; Severity of Illness Index ; Quality of Life ; Aged

The importance of gait assessment in the rehabilitation of cancer patients is gradually being recognized. However, quantitative analysis of balance ability in cancer patients is still limited. A total of 102 cancer patients meeting the inclusion criteria were recruited from Hefei Cancer Hospital, Chinese Academy of Sciences. Their balance ability was evaluated using the Berg Balance Scale (BBS). Gait data were collected by an electronic walkway and an IMU sensor system, including spatial-temporal and kinematic gait features such as step length, cadence, support time, and range of motion. Recursive feature elimination was used for feature selection. Ridge, Elastic Net, SVR, RF, and AdaBoost models were used to predict balance ability scores. Five-fold cross-validation was used to evaluate the performance of these models. Results show that the SVR model achieves the best performance with fifteen features (RMSE=3.22, R ²=0.91), followed by Ridge (RMSE=3.63, R ²=0.89). A method for evaluating balance ability based on gait features is proposed, providing a quantitative tool for personalized rehabilitation interventions in cancer patients.
Humans ; Postural Balance ; Neoplasms/rehabilitation* ; Gait ; Gait Analysis ; Biomechanical Phenomena ; Female

The precise and rapid monitoring of multiple organ dysfunction is crucial in drug discovery. Traditional methods, such as pathological analysis, are often time-consuming and inefficient. Here, we developed a multiplexed near-infrared window two (NIR-II) fluorescent bioimaging method that allows for real-time, rapid, and quantitative assessment of multiple organ dysfunctions. Given that existing probes did not fully meet requirements, we synthesized a range of NIR-II hemicyanine dyes (HDs) with varying absorption and emission wavelengths. By modifying these dyes, we achieved high spatial and temporal resolution imaging of the liver, kidneys, stomach, and intestines. This method was further applied to investigate disorders induced by cisplatin, a drug known to cause gastric emptying issues along with liver and kidney injuries. By monitoring the metabolic rate of the dyes in these organs, we accurately quantified multi-organ dysfunction, which was also confirmed by gold-standard pathological analysis. Additionally, we evaluated the effects of five aristolochic acids (AAs) on multiple organ dysfunction. For the first time, we identified that AA-I and AA-II could cause gastric emptying disorders, which was further validated through transcriptomics analysis. Our study introduces a novel approach for the simultaneous monitoring of multi-organ dysfunction, which may significantly enhance the evaluation of drug side effects.

OBJECTIVES: To explore the value of serum cystatin C (CysC) levels in evaluating renal prognosis in IgA nephropathy (IgAN) patients. METHODS: We retrospectively collected the clinical data of IgAN patients diagnosed by renal biopsy at Guangdong Provincial People's Hospital from January, 2014 to December, 2018. Based on baseline serum CysC levels, the patients were divided into high serum CysC (>1.03 mg/L) group and normal serum CysC (≤1.03 mg/L) group. The composite endpoint for poor renal prognosis was defined as ≥50% decline in estimated glomerular filtration rate (eGFR) and/or progression to end-stage renal disease (ESRD). Lasso regression, multivariate Cox regression and Kaplan-Meier survival analysis were used to identify the risk factors and compare renal survival rates between the two groups. Smooth curves fitting and threshold effect analysis were used to explore the relationship between serum CysC levels and the outcomes. A nomogram model was constructed and its predictive performance was evaluated using concordance index, calibration curve, receiver operating characteristic (ROC) curve and the area under curve (AUC). RESULTS: A total of 356 IgAN patients were enrolled, who were followed up for 4.65±0.93 years. The composite endpoint occurred in 74 patients. High serum CysC was identified as an independent risk factor for poor renal prognosis in IgAN (HR=2.142, 95% CI 1.222 to 3.755), and the patients with high serum CysC levels had a lower renal survival rate (Log-rank χ²=47.970, P<0.001). In patients with serum CysC below 2.12 mg/L, a higher CysC level was associated with an increased risk of poor renal prognosis (β=3.487, 95% CI: 2.561-4.413, P<0.001), while above this level, the increase of the risk was not significant (β=0.676, 95% CI: -0.642-1.995, P=0.315). The nomogram model based on serum CysC and 3 other independent risk factors demonstrated good internal validity with a concordance index of 0.873 (95% CI: 0.839-0.907) and an AUC of 0.909 (95% CI: 0.873-0.945). CONCLUSIONS Serum CysC levels are associated with renal prognosis in IgAN patients, and high serum CysC an independent risk factor for poor renal prognosis.
Humans ; Glomerulonephritis, IGA/diagnosis* ; Cystatin C/blood* ; Prognosis ; Risk Factors ; Retrospective Studies ; Glomerular Filtration Rate ; Kidney Failure, Chronic ; Male ; Female ; Adult ; Nomograms ; Middle Aged

L-theanine is an important natural non-protein amino acid that is widely used in food and medicine. Although in previous studies, a microbial fermentation method for L-theanine without the addition of ethylamine has been developed, the conversion rate of this process needs to be further improved. In this study, we constructed a de novo synthesis pathway of L-theanine with glucose as the substrate. First, an in vitro transformation pathway containing ω-transaminase (TA) and γ-glutamylmethylamide synthetase (GMAS) was designed, optimized, and introduced into the chassis strain Escherichia coli K12 W3110 to achieve de novo synthesis of L-theanine. To improve the synthesis efficiency through metabolic engineering, we increased the copies of the GMAS gene gams and the TA gene spuC and enhanced the expression of the aldehyde dehydrogenase gene eutE to provide sufficient acetaldehyde substrate, knocked out the lactate dehydrogenase gene ldhA and the pyruvate formate lyase gene pflB to block bypass metabolism, and introduced the alanine dehydrogenase gene alD to recycle alanine. Furthermore, we over-expressed the phosphoenolpyruvate carboxylase gene ppc to enhance the carbon flux of the TCA cycle, knocked out the succinyl-CoA synthase gene sucCD to reduce the loss of downstream flux of TCA, and integrated the glutamate dehydrogenase gene gdh to enhance the supply of L-glutamate. Finally, the polyphosphate kinase gene ppk was introduced to the ATP cycle, which enhanced the energy supply in L-theanine production. The recombinant strain Tea11 produced 22.60 g/L L-theanine in a 5 L fermenter in 28 h, with a conversion rate of 41.71%. This synthetic pathway in this study balanced the relationship between the supply of ethylamine and the production of theanine, providing a new idea for metabolic engineering of microorganisms to produce L-theanine.
Glutamates/biosynthesis* ; Metabolic Engineering/methods* ; Escherichia coli/genetics* ; Fermentation ; Transaminases/metabolism* ; Amide Synthases/metabolism* ; Glucose/metabolism*

Objective: To explore the influencing factors and pathways of suicidal ideation among children and adolescents with severe autism spectrum disorder (ASD), so as to provide references for clarifying the impact intensity and pathways of various factors on suicidal ideation in the population. Methods: A cross sectional study was conducted from June 17, 2024, to January 12, 2025, involving 96 severely affected ASD children and adolescents aged 8-18 years from Tianjin. Participants were assessed using the Puberty Development Scale (PDS), Children s Alexithymia Measure (CAM), Strengths and Difficulties Questionnaire (SDQ), and Positive and Negative Suicide Ideation (PANSI). The random forest Boruta algorithm was employed to screen core variables, and a Bayesian network model was constructed to analyze the influencing factors of suicidal ideation in children and adolescents with severe ASD. Results: Through the screening using the Boruta algorithm, the SDQ scale score, conduct problems, hyperactivity, peer relationship problems and prosocial behavior were identified as the key predictors of suicidal ideation. A Bayesian network model was established with hyperactivity as the central mediating node. The impact of hyperactivity on suicidal ideation exhibited a non linear relationship: compared to the normal state (31.6%, 68.4%), the borderline state of hyperactivity was associated with a higher probability of low risk suicidal ideation (47.1%) and a lower probability of high risk suicidal ideation (52.9%). Suicidal ideation among children and adolescents with severe ASD was closely related to hyperactivity. In the state of hyperactivity, the abnormal peer relationship (95.2%) and the abnormal prosocial behavior (77.0%) were aggravated. Conclusions Suicide ideation among children and adolescents with severe ASD is strongly associated with hyperactivity traits. It is necessary to establish a prevention and control system centered on hyperactivity intervention to reduce this risk.

Objective:To deeply analyze the efficiency of health resource allocation and output insufficiency in Jiangsu Province,and to understand the efficiency and differences of resource allocation in prefecture-level cities,so as to provide references for improving the efficiency of health resource allocation.Methods:The static and dynamic efficiencies of health resource allocation in 13 cities in Jiangsu Province were analyzed using DEA-BCC and Malmquist-DEA,and the distribution of output-deficient cities was plotted using a two-dimensional matrix diagram.Results:From a static perspective,the increase in scale efficiency leads to an increase in overall efficiency,but only one-sixth is fully efficient;from a dynamic perspective,technological progress is a key limiting factor in the increase of total factor productivity;and only 2 cities fall into the zero-output-deficiency region.Conclusion:Health resources in Jiangsu Province are characterized by low overall efficiency,large regional differences,and stagnant technological progress,so it is necessary to improve the efficiency of health resource allocation by emphasizing innovation,promoting technological progress,and classifying and guiding.