ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

Haloacetic acids(HAAs),as a class of disinfection byproducts in drinking water,pose potential threats to human health,so the rapid,accurate and simultaneous detection of HAAs is of great significance for ensuring drinking water safety.Aiming at the challenges in HAAs detection and risk analysis,a novel method for synchronous rapid detection of seven kinds of HAAs in drinking water based on in situ derivatization technology and headspace gas chromatography was developed in this study.Through single-factor optimization experiments,the optimal reaction parameters for in situ derivatization were determined,including the type and dosage of salting-out agent,the acidity of reaction system,the amount of phase transfer catalyst,the dosage of derivatization agent,and the extraction solvent volume.Methodologic validation showed that the seven kinds of HAAs exhibited excellent linear relationships within their respective detection concentration ranges(R2>0.998).The method detection limits(MDLs)ranged from 0.04 to 0.33 μg/L,and the limits of quantification(LOQs)were between 0.14 and 1.34 μg/L.For real water samples,the average spiked recoveries of the seven HAAs ranged from 90.9%to 107.7%,with relative standard deviation(RSDs)between 1.55%and 6.49%,and the HAAs contents in all tested samples were below the limits specified in the Standards for Drinking Water Quality(GB 5749-2022)of China.This method was featured with simple operation,fast analysis speed,high sensitivity,and good accuracy,providing an efficient and reliable technical support for routine monitoring of HAAs contaminants in drinking water and showing promising application value for widespread promotion.

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

Aim To investigate the effects of breast cancer-related depression model on microglial activa-tion and neuronal function via the NLRP3-COX-2 sig-naling pathway.Methods In the cell experiment,BV2 and HT22 cells were co-cultured to observe the polarization of BV2 cells and the injury of HT22 cells.In the animal experiment,behavioral experiments were used to evaluate the depressive behaviors of mice.HE staining and tumor weight were used to evaluate the changes of axillary tumors.ELISA was used to detect the contents of CA153,CA125,CEA,as well as the changes in the contents of 5-HT,DA and others in the serum and hippocampus.RT-qPCR and immunohisto-chemistry were used to detect the mRNA and protein expression of IL-1 β,IL-18 and other indicators,re-spectively.Immunofluorescence was used to detect CD1 1b and Iba-1.Nissl staining and transmission elec-tron microscopy were used to observe the hippocampal neurons.Results The results of cell experiments showed that compared with the model group,the pro-tein contents and mRNA expression levels of NLRP3,COX-2,and IL-1 β in the NLRP3 knockdown group were all decreased.The results of animal experiments showed that compared with the model group,the be-havioral performance of the experimental group was im-proved,and the mRNA and protein expression levels of IL-1 β,IL-18,and NLRP3 were decreased.Conclu-sion BCRD may mediate the polarization of microglia and the injury of hippocampal neurons through the NL-RP3-COX-2 signaling pathway.

Objective:To evaluate the diagnostic performance of fecal calprotectin (FC) in predicting endoscopic activity of ulcerative colitis (UC), and to compare it with high-sensitivity C reactive protein (hsCRP) and erythrocyte sedimentation rate (ESR) .Methods:A cross-sectional stydy was conducted. UC patients diagnosed at Peking Union Medical College Hospital between May 2023 and July 2025 were retrospective enrolled. Patients were divided into the endoscopically active group and endoscopic remission group according to endoscopic activity. FC levels were measured using latex-enhanced turbidimetric immunoassay (LETIA). Receiver operating characteristic (ROC) curves and logistic regression models were used to assess diagnostic efficacy. Subgroup analyses were conducted according to disease extent.Results:A total of 166 UC patients were enrolled, including 92 males and 74 females with the age of 40.00 (32.00, 52.00) years old and disease course 5.00 (2.00, 10.75) years. Forty-six patients were assigned to the active group, while the remaining 120 were assigned to the remission group. FC levels were significantly higher in the active group than in the remission group (620.72 μg/g vs. 29.00 μg/g, P < 0.001), with an AUC of 0.894 at a cutoff value of 122.54 μg/g. hsCRP and ESR had lower AUC (0.712 and 0.736, respectively). The combination of FC, hsCRP, and ESR slightly improved specificity (AUC 0.898). FC was strongly correlated with the endoscopic activity ( r =0.669, P < 0.001) but not with disease extent. Conclusions:FC measured by latex-enhanced turbidimetric immunoassay had comparable diagnostic accuracy to ELISA-based methods commonly used abroad, and provided a reference cutoff value of 122.54 μg/g. FC outperforms hsCRP and ESR in assessing intestinal inflammation in UC and it is less affected by disease extent, making it a reliable non-invasive biomarker for UC monitoring.

Objective:To evaluate the predictive efficacy of fecal calprotectin (FC) for endoscopic activity in patients with Crohn's disease (CD) .Methods:A cross-sectional study was conducted and patients diagnosed as CD at Peking Union Medical College Hospital from June 2023 to September 2025 were enrolled consecutively. Data was collected including general information, laboratory tests [hemoglobin (HGB), platelet (PLT), FC, high-sensitivity C-reactive protein (hsCRP), erythrocyte sedimentation rate (ESR) and so on], and endoscopic results. FC levels were measured by latex-enhanced turbidimetric immunoassay (LETIA). Endoscopic activity was defined as the simplified endoscopic score for Crohn's disease (SES-CD) > 2. Patients were divided into the endoscopically active group and endoscopic remission group according to endoscopic activity, and the differences in clinical data between the two groups were compared. Spearman correlation analysis was used to assess the correlation between FC and endoscopic activity, and receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of FC, hsCRP and ESR for endoscopic activity, and the differences were compared.Results:A total of 90 CD patients were enrolled, including 65 males and 25 females with the age of 30 (22, 41) years old and disease course 4.0 (0.5, 8.0) years. Seventy-one patients (78.9%) had ileocolonic disease involvement (L3), and 55 patients (61.1%) were using biologics. Sixty-nine patients in endoscopic active phase were assigned to the endoscopically active group, while the remaining 21 were assigned to the endoscopic remission group. There were no statistically significant differences in general characteristics such as age and gender between the two groups (all P > 0.05). Compared with endoscopic remission group, HGB was significantly lower in the endoscopically active group, while PLT, hsCRP, ESR, and FC were moderataly higher (all P < 0.05). Among the 90 CD patients, FC levels were moderatly correlated with endoscopic activity (ρ = 0.494). ROC curve analysis indicated that the area under the curve for FC in predicting endoscopic activity was 0.836 (95% CI: 0.737-0.935), with a sensitivity of 0.725, specificity of 0.952, and accuracy of 0.778 at the optimal FC cutoff value of 153.8 μg/g. FC outperformed hsCRP and ESR. Conclusion:FC measured by LETIA demonstrates certain efficacy in predicting endoscopic activity in CD and will assist in efficient clinical monitoring of CD patients.

Objective To design a centrifugal agtomization principle-based disinfection and disinsection device for plateau areas.Methods A disinfection and disinsection device was developed based on centrifugal atomization principle,which was composed of a spraying body,lifting and rotating mechanisms,an electrical control system,a spray tank and a sprayer carriage.The spraying body consisted of spraying components,a motor,an air blower,a fan and etc,and the spraying components adopted the structural form of multi-layer disc stacking to realize the atomization of liquid medicine;the lifting mechanism implemented up-and-down adjustment of the air blower through an electric actuartor,and the rotating mechanism executed left-and-right adjustment of the air blower thrgouth the worm gear motor and limit switch;the electrical control system was made up of a power source,electrical devices,a distribution system and a control system,in which a lead-acid battery pack was used for power supply and a DGUS touch screen and a DCS001 controller were involved in the control system;the spray tank was formed of a tank body,a needle valve,a water pump,float switch,etc;the sprayer carriage comprised a frame,a pusher,two sealing plates and four wheels.Some disc samples with different diameters were trial produced,and comparison experiments were carried out to investigate the relationship between disc diameter,motor speed,spray flow rate and atomization effect;a prototype was manufactured for performance testing of the device.Results The disc diameter and motor speed were inversely proportional to the droplet size;the spray flow rate was directly proportional to the droplet size,when the spray flow rate increased by 60%,the increment of the droplet size was restrained within 2%to 11%.The prototype test results indicated that the device could be used for ultra-low-volume disinfection and insecticide in plateau areas,with the D50 and D90 of the droplet size being 31 and 48 μm,respectively.Conclusion The device developed gains advantages in atomiztion,and meets the requirements for epidemic prevention,disinfection and disinsection in plateau areas.[Chinese Medical Equipment Journal,2025,46(4):35-39]

The gut microbiota regulates intestinal nutrient absorption, participates in modulating host glucolipid metabolism, and contributes to ameliorating glucolipid metabolism disorder. Dysbiosis of the gut microbiota can compromise the integrity of the intestinal mucosal barrier, induce inflammatory responses, and exacerbate insulin resistance and abnormal lipid metabolism in the host. Dangua Humai Oral Liquid, a hospital-developed formulation for regulating glucolipid metabolism, has been granted a national invention patent and demonstrates significant clinical efficacy. This study aimed to investigate the effects of Dangua Humai Oral Liquid on gut microbiota and the intestinal mucosal barrier in a mouse model with glucolipid metabolism disorder. A glucolipid metabolism disorder model was established by feeding mice a high-glucose and high-fat diet. The mice were divided into a normal group, a model group, and a treatment group, with eight mice in each group. The treatment group received a daily gavage of Dangua Humai Oral Liquid(20 g·kg~(-1)), while the normal group and model group were given an equivalent volume of sterile water. After 15 weeks of intervention, glucolipid metabolism, intestinal mucosal barrier function, and inflammatory responses were evaluated. Metagenomics and untargeted metabolomics were employed to analyze changes in gut microbiota and associated metabolic pathways. Significant differences were observed between the indicators of the normal group and the model group. Compared with the model group, the treatment group exhibited marked improvements in glucolipid metabolism disorder, alleviated pathological damage in the liver and small intestine tissue, elevated expression of recombinant claudin 1(CLDN1), occluding(OCLN), and zonula occludens 1(ZO-1) in the small intestine tissue, and reduced serum levels of inflammatory factors lipopolysaccharides(LPS), lipopolysaccharide-binding protein(LBP), interleukin-6(IL-6), and tumor necrosis factor-α(TNF-α). At the phylum level, the relative abundance of Bacteroidota decreased, while that of Firmicutes increased. Lipid-related metabolic pathways were significantly altered. In conclusion, based on the successful establishment of the mouse model of glucolipid metabolism disorder, this study confirmed that Dangua Humai Oral Liquid effectively modulates gut microbiota and mucosal barrier function, reduces serum inflammatory factor levels, and regulates lipid-related metabolic pathways, thereby ameliorating glucolipid metabolism disorder.
Animals ; Gastrointestinal Microbiome/drug effects* ; Mice ; Intestinal Mucosa/microbiology* ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Mice, Inbred C57BL ; Humans ; Glycolipids/metabolism* ; Lipid Metabolism/drug effects* ; Administration, Oral ; Disease Models, Animal

Acute lung injury(ALI) is a critical clinical condition primarily characterized by refractory hypoxemia and infiltration of inflammatory cells in lung tissue, which can progress into a more severe form known as acute respiratory distress syndrome(ARDS). Immune cells and inflammatory cytokines play important roles in the progression of the disease. Due to its unclear pathogenesis and the lack of effective clinical treatments, ALI is associated with a high mortality rate and severely affects patients' quality of life, making the search for effective therapeutic agents particularly urgent. Ginseng Radix et Rhizoma, the dried root of the perennial herb Panax ginseng from the Araliaceae family, contains active ingredients such as saponins and polysaccharides, which possess various pharmacological effects including anti-tumor activity, immune regulation, and metabolic modulation. In recent years, studies have shown that ginsenosides exhibit notable effects in reducing inflammation, ameliorating epithelial and endothelial cell injury, and providing anticoagulant action, indicating their comprehensive role in alleviating lung injury. This review summarizes the pathogenesis of ALI and the molecular mechanisms through which ginsenosides act at different stages of ALI development. The aim is to provide a scientific reference for the development of ginsenoside-based drugs targeting ALI, as well as a theoretical basis for the clinical application of Ginseng Radix et Rhizoma in the treatment of ALI.
Ginsenosides/pharmacology* ; Humans ; Acute Lung Injury/immunology* ; Animals ; Panax/chemistry* ; Drugs, Chinese Herbal