ObjectiveTo provide a reference for the rational clinical use of cold Chinese medicines by sorting and analyzing their properties， flavors， meridian tropism， primary therapeutic indications， methods of administration， dosages， and precautions as recorded in the 2020 edition of Pharmacopoeia of the People's Republic of China （Chinese Pharmacopoeia）. MethodsCold Chinese medicines for internal and external use included in the 2020 edition of Chinese Pharmacopoeia were entered one by one， and their efficacy， properties， flavors， meridian tropism， methods of administration， dosages， and usage precautions were statistically classified and summarized to guide clinical medication use. ResultsA total of 259 cold Chinese medicines for internal use were included and categorized into 18 efficacy groups， mainly comprising heat-clearing drugs， water-excreting and dampness-draining drugs， and phlegm-resolving， cough- and asthma-relieving drugs. Their predominant flavors were bitter， sweet， and pungent， and they primarily entered the liver， lung， and stomach meridians. The main methods of administration included decocting first， grinding into powder for oral use， or preparing into pills or powders， with most dosages ranging from 9 to 15 g. A total of 83 cold Chinese medicines for external use were included， involving 16 efficacy categories. Their main flavors were bitter， sweet， and pungent， primarily entering the liver， lung， and large intestine meridians. The main external application methods were grinding into powder for topical use or preparing decoctions for fumigation and washing， with most dosages ranging from 9 to 15 g. Whether for internal or external use， cold Chinese medicines should be used with caution or contraindicated in pregnant women. ConclusionThe cold Chinese medicines included in the 2020 edition of the Chinese Pharmacopoeia are mainly suitable for patients with carbuncles， swellings， and coughs. However， in clinical practice， it is necessary to strictly follow the principles of syndrome differentiation and treatment， pay attention to administration methods and dosages， and use cold medicines rationally and effectively to improve clinical efficacy.

Functional constipation （FC） is a common functional disorder of the intestines， mainly characterized by reduced bowel movement frequency， difficulty in defecation， a sensation of incomplete evacuation， and hard stools， which severely affect patients’ quality of life. Research indicates that the pathogenesis of FC is closely related to gut microbiota dysbiosis and abnormal bile acid secretion. Bile acids， as endogenous natural laxatives， promote bowel movements by enhancing colonic secretion and regulating intestinal motility； meanwhile， gut microbiota influence colonic transit function by regulating the enteric nervous system， immune system， and their metabolic products. Based on an overview of the relationship between gut microbiota and bile acid metabolism， this article systematically reviews the current research status on the mechanisms of traditional Chinese medicine （TCM） in treating FC by regulating the balance of the gut microbiota-bile acid axis. It is found that single Chinese medicinal herbs （such as Atractylodes macrocephala）， isolated compounds （such as Platycodon grandiflorum polysaccharides）， herbal formulas （such as Shanger huang pill）， acupuncture， and moxibustion can up-regulate the abundance of beneficial bacteria， reshape the microbial structure， correct bile acid metabolism， and activate the Takeda G-protein receptor 5/farnesoid X receptor pathway to treat FC.

low transit constipation （STC） is a common functional intestinal disorder caused by impaired colonic transit function， characterized by reduced bowel movement frequency， hard stools， and difficulty in defecation. The mitogen-activated protein kinase （MAPK） signaling pathway， which mainly includes extracellular signal-regulated kinase （ERK）， c-Jun N-terminal kinase （JNK）， and p38 subtypes， plays a critical regulatory role in the occurrence and development of STC. This paper systematically reviews the multiple pathogenic mechanisms of the MAPK signaling pathway in STC and the research progress of traditional Chinese medicine （TCM） intervention.At the mechanistic level， the MAPK signaling pathway promotes the progression of STC through the following links：（1） Activation of p38 upregulates the expression of aquaporin 3 （AQP3）/AQP4 in the colon， leading to excessive reabsorption of water in the intestinal lumen； （2） It forms a positive feedback loop with nuclear factor-κB （NF-κB） to maintain low-grade intestinal inflammation， releases inflammatory factors such as tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β）， and inhibits smooth muscle contraction； （3） Overactivation of p38 downregulates the expression of occludin and mucin 2 while upregulates the expression of claudin-2， thereby disrupting the mucosal barrier； （4） The JNK/p38 signaling pathway activates the caspase cascade to induce apoptosis of intestinal epithelial cells， neurons， and interstitial cells of Cajal； （5） Abnormal ERK signaling and excessive activation of p38/JNK inhibit intestinal smooth muscle contraction and reduce 5-hydroxytryptamine secretion， ultimately resulting in impaired colonic transit function.At the intervention level， TCM compound formulas and single herbs have been proven to improve STC by regulating the MAPK signaling pathway. Their effects are syndrome type-dependent：yin-nourishing formulas （Zengye Chengqi Tang， Tongbian Tang） mainly regulate the ERK/AQP axis； yang-warming formulas （Jichuan Jian） target both ERK/JNK and anti-apoptosis； heat-clearing formulas （Sanren Tang） focus on p38/NF-κB anti-inflammation. A single drug can simultaneously cover multiple aspects including water metabolism， inflammation， barrier function， apoptosis， and intestinal motility.Current relevant studies still have limitations such as mechanisms mostly remaining at the correlational level and a lack of disease-syndrome integrated research models. Future studies should combine specific inhibitors or gene knockout to identify core targets， establish disease-syndrome integrated STC models， and use network pharmacology and molecular docking techniques to deeply analyze the fine mechanism of “component-target-phenotype”， so as to provide high-quality evidence for the precise regulation of the MAPK signaling pathway by TCM in the intervention of STC.

Purpose: In this study, the neural communication patterns between hypothalamic structures and cortical areas in girls diagnosed with central precocious puberty (CPP) were explored. Endocrine profiles were incorporated to clarify the pathophysiological interactions between cerebral networks and hormonal regulation. The hypothalamus was designated as the key focus area for connectivity analysis. Methods: Fifty-seven girls (37 CPP, 20 non-CPP) were recruited from the Pediatric Development Clinic at the Second Affiliated Hospital of Anhui Medical University. The collected data included demographic information, gonadotropin-releasing hormone stimulation tests, and magnetic resonance imaging scans. Hypothalamic functional connectivity (FC) was analyzed using predefined region of interest coordinates, and correlations between hormone levels and FC values were assessed. Results: Compared to the non-CPP group, the CPP group exhibited elevated baseline follicle-stimulating hormone (FSH), baseline luteinizing hormone (LH), peak FSH, peak LH, and peak LH/FSH ratios. Patients with CPP exhibited enhanced neural synchronization linking the right lateral hypothalamic effector zone to the right superior frontal gyrus (displaying a borderline significant correlation with peak LH concentrations), concurrent with diminished functional coupling of the right lateral hypothalamic efferent to the right fusiform/supramarginal gyri. The left lateral hypothalamic projections demonstrated amplified connectivity with the right cuneus. No FC differences were observed in the medial hypothalamus. Conclusion Abnormal lateral hypothalamus FC patterns were identified in CPP girls and were particularly linked to peak LH levels. The findings offer novel insights into the neuroendocrine mechanisms underlying CPP.

ObjectiveTo construct a prediction model for high responsiveness to short-term aerobic training in patients with Parkinson's disease (PD) based on dual-task gait assessment, and to provide evidence for identifying individuals who are most likely to benefit from such interventions. MethodsA total of 42 patients with PD who visited the outpatient clinic of Tianjin Huanhu Hospital between August 29, 2023 and December 19, 2024 were enrolled. All participants completed a 4-week home-based aerobic cycling training program and underwent dual-task gait assessments pre- and post-training. Patients were classified into high-response group (n = 12) and low-response group (n = 30) according to whether the improvement in gait speed reached the minimal clinically important difference of 0.1 m/s. The clinical validity of this grouping was verified by comparing differences in cardiopulmonary exercise testing parameters and dual-task gait indicators between the two groups pre- and post-training. Based on baseline characteristics, Firth's penalized maximum likelihood logistic regression was applied to construct a predictive model for high responsiveness, and the discriminative performance of the model was assessed preliminarily. ResultsThe high-response group showed significantly greater improvement in gait speed, step length, cadence and the anaerobic threshold to maximal oxygen uptake ratio after training compared with the low-response group (P < 0.05), confirming the clinical validity of the grouping. The baseline anaerobic threshold to maximal oxygen uptake ratio (OR = 3.348), body mass index (OR = 2.229) and age (OR = 0.428) demonstrated certain discriminative ability in the present sample. The area under the receiver operating characteristic curve was 0.831, with an overall prediction accuracy of 81.0%, specificity of 83.3% and sensitivity of 75.0%. Robustness of the model was confirmed via internal validation using the Bootstrap method, which suggested that the results were informative, but further validation was still required. ConclusionThe anaerobic threshold/maximal oxygen uptake ratio, body mass index and age may predict the response to short-term aerobic training in patients with PD.

The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) is higher among individuals with inflammatory bowel disease (IBD) than in the general population. Emerging evidence indicates that the development of MASLD in patients with IBD may occur independently of traditional metabolic risk factors, suggesting a unique pathophysiological mechanism distinct from conventional MASLD pathways. Bile acids (BAs), which act as critical signaling molecules in enterohepatic circulation, play an essential role in maintaining gastrointestinal homeostasis through bidirectional gut–liver axis communication. These molecules are increasingly recognized as pivotal regulators in the progression of both MASLD and IBD. While previous studies have characterized the dynamics of BA in blood or fecal samples under both conditions, a comprehensive understanding of their metabolic profiles and the associated interactions within the gut–liver axis is still lacking. This review synthesizes current evidence from studies employing BA metabolomics to investigate IBD and MASLD. By focusing on BA signatures, we summarize conserved alterations between these two conditions and their potential mechanisms of disease progression. Our review advances understanding of BA-mediated pathways in IBD and MASLD, providing a foundation for assessing their roles in contributing to the pathogenesis of MASLD in patients with IBD.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

ObjectiveThis study aims to develop and validate a novel multimodal predictive model， termed criss-cross network（CCNet）-directed graph neural network（DGNN）（CGN）， for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer， by integrating longitudinal chest computed tomography（CT） imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron， and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently， a DGNN was constructed to integrate heterogeneous features， where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally， model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss， facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set， achieving an area under the receiver operating characteristic curve（AUC） of 0.830， accuracy of 0.843， sensitivity of 0.657， specificity of 0.712， Cohen's Kappa of 0.417， and F₁ score of 0.544. Compared with unimodal baselines， the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components， substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine （TCM）-specific symptomatology led to an additional 5% improvement in AUC， underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis， it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model， by synergistically combining cross-attention encoding with directed graph-based feature integration， enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment， thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.

Due to the poor ionization efficiency and the weak mass spectrometry(MS)intensity of weakly polar substances,direct analysis using the traditional electrospray ionization mass spectrometry(ESI-MS)is a big challenge.In this study,a novel rapid on-site detection method of four prohibited sex hormones in cosmetics was proposed using online derivatization strategy coupled with a miniature mass spectrometer.The target substances in the samples were extracted by a custom-made polyaniline/multi-walled carbon nanotube solid-phase microextraction(SPME)probe.The stirring speed was 200 r/min,the extraction temperature was 40℃,and the extraction time was 2 min.A pulled dual-channel θ borosilicate glass capillary emitter was used as the nano-ESI ion source.The SPME probe was inserted into the channel containing methanol in theθborosilicate glass capillary.When the spray voltage was applied,the four sex hormones were desorbed and formed spray microdroplets,which then collided with the hydroxylamine microdroplets generated from the other channel.The microdroplets of reaction product entered into the miniature mass spectrometer for direct analysis.The limits of detection(LOD)and limits of quantification(LOQ)for the four sex hormones were 10-20 ng/mL and 20-50 ng/mL,respectively.The recoveries were from 84.6%to 107.8%with the relative standard deviations(RSD)from 4.1%to 11.6%.Compared to detection without derivatization,the MS signals of the four target substances were increased by 3 to 15 times.This method was simple,rapid,highly efficient and sensitive,and suitable for on-site rapid analysis of weakly polar sex hormones in cosmetics.

Objective:To investigate the effect of Simiao Yong'an Decoction on AMPK/ULK1 autophagy axis and inflammatory reaction in atherosclerotic(AS)mice.Methods:ApoE-/-mice were randomly divided into control group,model group,low,medium and high doses of Simiao Yong'an Decoction groups and simvastatin group,with 10 mice in each group.Mice model of AS was induced by high-fat diet.Simao Yong'an Decoction given low(10.13 g/kg),medium(20.25 g/kg),high dose(40.5 g/kg)and simvastatin tablets(3 mg/kg)by gavage for 6 weeks.After administration,serum and aortic tissue of mice were collected,and serum lipid level was detected by automatic biochemical analyzer;HE staining was used to observe the pathological changes of aorta;autophagy level of plaque tissue was observed by transmission electron microscope;levels of inflammatory factors IL-18,IFN-γ and CRP in serum were detected by ELISA;expression levels of AMPK,ULK1 and p62 mRNA were detected by qRT-PCR;expressions of LC3Ⅱ and p-ULK1 protein were detected by immunofluorescence labeling;expressions of p-AMPK and p62 were detected by immunohistochemis-try.Results:Compared with model group,aortic plaque in Simiao Yong'an Decoction and simvastatin groups were significantly reduced,and serum levels of TC,TG,LDL-C,IFN-γ,IL-18 and CRP were significantly decreased(P<0.05 or P<0.01),while the level of HDL-C was increased(P<0.05 or P<0.01);electron microscopy showed that autophagic bodies were increased;expressions of autophagy related factors LC3 Ⅱ,AMPK and ULK1 were induced,and expression of p62 was inhibited.Conclusion:Simiao Yong'an Decoction can induce AMPK/ULK1 autophagy axis and inhibit IFN-γ,IL-18 and CRP overexpressions in AS mice of may be one of the important mechanisms of Simiao Yong'an Decoction in anti-atherosclerosis.