Objective To explore risk factors of sodium-dependent glucose transporters 2 （SGLT2） inhibitor-associated euglycemic diabetic ketoacidosis （euDKA） and to construct a risk prediction model. Methods A retrospective analysis was performed on the clinical data of type 2 diabetes patients treated with SGLT2 inhibitors in Dongnan Hospital of Xiamen University from January 2020 to December 2023, including age, gender and course of diabetes. The risk factors of SGLT2 inhibitor-associated euDKA were analyzed by univariate analysis and multivariate Logistic regression, and a prediction model was established. According to the receiver's operating characteristic （ROC） curve, the area under the curve （AUC） and the optimal critical value of the prediction model were determined. The prediction model was subjected to both internal and external validation. Results A total of 119 patients with type 2 diabetes treated with SGLT2 inhibitors were included in this study. Among them, there were 98 cases without euDKA （non-euDKA group）and 21 cases with euDKA （euDKA group）. Multivariate Logistic regression analysis showed the DKA history (OR=114.153), appetite or diet decreased three days before admission (OR=21.774), elevated neutrophil count (OR=2.056) and pre-hospital adjustment of hypoglycemic agents (OR=45.745) were independent factors to increase risks of euDKA associated with SGLT2 inhibitors （P<0.05）. Surgical history before admission was an independent factor to reduce this risk （OR=0.007, P<0.05）. By establishing the calculation formula of the prediction model = neutrophil count+6.571 （DKA history）−6.874 （surgical history before admission）+4.273 （appetite or diet decreased three days before admission）+5.302 （pre-hospital adjustment of hypoglycemic drugs）, the ROC curve was drawn. The AUC of the ROC of the prediction model was 0.982 （95%CI: 0.961-1.000, P<0.001）, with accuracy of 94.96%, sensitivity of 0.905, specificity of 0.959 and a critical value of 7.405. The AUC of ROC curve after the model’s ten-fold cross validation was 0.930. And the accuracy of the external validation of the prediction model was 85.29%. Conclusion The DKA history, appetite or diet decreased three days before admission, elevated neutrophil count and pre-hospital adjustment of hypoglycemic agents increased the risk of SGLT2 inhibitor-associated euDKA, while the surgical history before admission reduced this risk. The risk prediction model constructed on this basis could better predict the risk of SGLT2 inhibitor-associated euDKA.

Objective To establish a highly efficient and sensitive technical system for the identification and analysis of platycodin-type saponins, systematically compare the differences in platycodin-type saponins among Platycodon grandiflorum from different producing areas, and provide scientific references for the screening of high-quality Platycodon grandiflorum resources, authenticity evaluation, and construction of standardized quality control systems. Methods A total of 45 batches of P. grandiflorum medicinal materials from 3 producing areas （Anhui, Henan, and Jilin, with 15 batches per area） were selected as research objects. Qualitative identification and semi-quantitative analysis of saponin components were performed based on ultra-high performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry （UHPLC-Q-TOF/MS） technology. Meanwhile, two multivariate statistical methods, principal component analysis （PCA） and partial least squares-discriminant analysis （PLS-DA）, were combined to analyze the differences in platycodin-type saponins of Platycodon grandiflorus from different producing areas. Results A total of 28 saponin components were identified from Platycodon grandiflorus of the three producing areas. PCA results showed that there were minor differences in platycodin-type saponins between Henan Platycodon grandiflorus and Jilin Platycodon grandiflorus, while Anhui P. grandiflorum exhibited significant differences from both. PLS-DA further screened 15 major differential compounds. Among them, the contents of 6 components including 3''-O-acetylpolygalacin D2 and platycodin H in Anhui Platycodon grandiflorus were higher than those in Henan and Jilin Platycodon grandiflorus; platycodigenic acid A had the highest content in Jilin Platycodon grandiflorus; the contents of platycodin D3, polygalacin J, and polygalacin D were relatively higher in Henan Platycodon grandiflorus. Conclusion This study clarified the characteristic differences in core components of Platycodon grandiflorus from the three major producing areas, which provided an important theoretical basis for the screening of high-quality Platycodon grandiflorus resources, elucidation of the mechanism underlying its authenticity, and construction of a standardized quality control system.

ObjectiveTo investigate the inhibitory effect of Biejiajian Pills （BJJW） on the growth of liver cancer， as well as its potential mechanism in mediating the AMP-activated protein kinase （AMPK）/mammalian target of rapamycin （mTOR） pathway through mitochondrial energy metabolism. MethodsHuman hepatoma Huh7 cells were used to establish a nude mouse model of subcutaneous xenograft tumor. A total of 18 tumor-bearing nude mice were randomly divided into model group， BJJW group （2.2 g/kg）， and metformin group （250 mg/kg）， and the corresponding drug was given by gavage for 14 consecutive days. Tumor volume and weight were monitored during the experiment； HE staining was used to observe histopathological changes； the levels of reactive oxygen species （ROS） and adenosine triphosphate （ATP） in tumor tissue were measured； immunohistochemistry and Western blotting were used to measure the expression levels of proteins associated with the AMPK/mTOR pathway. A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups， and the Tukey’s test was used for further comparison between two groups； the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between multiple groups， and the Dunn’s test was used for further comparison between two groups. ResultsCompared with the model group， the BJJW group had a tumor inhibition rate of 45.73%， with significant reductions in both tumor volume and weight （P<0.01）. Pathological examination showed that compared with the model group， the BJJW group had a significant reduction in the number of tumor cells and the presence of extensive necrosis. Mechanistic studies showed that compared with the model group， the BJJW group had a significant increase in ROS level （P<0.001） and a significant reduction in ATP level （P<0.001）， as well as significant increases in p-AMPK/AMPK ratio （0.81±0.20 vs 0.13±0.04， P<0.01） and p-ULK1/ULK1 ratio （0.69±0.17 vs 0.18±0.13， P<0.01） and a significant reduction in p-mTOR/mTOR ratio （1.34±0.16 vs 3.20±0.62， P<0.01）. ConclusionBJJW may inhibit the growth of liver cancer by inducing mitochondrial energy metabolism dysfunction， increasing the level of ROS， reducing the level of ATP， and activating the AMPK/mTOR signaling pathway.

Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. Septic shock is the primary cause of mortality in sepsis, with its core pathophysiological mechanism being severe ischemia and hypoxia in critical units—composed of microcirculation and the mitochondria of functional cells—resulting from disruptions in blood flow and oxygen flow following a dysregulated host response. Due to the systemically convergent yet clinically heterogeneous nature of the host response, current understanding and management strategies for hemodynamics remain inconsistent, often leading to inadequate resuscitation or overtreatment. To improve the quality of care, based on a systematic review of the "blood flow-oxygen flow" theory, an expert panel emphasizes reevaluating septic shock from an integrated perspective of blood flow and oxygen flow, and has formulated the Expert Consensus on Blood Flow and Oxygen Delivery Phenotyping and Clinical Management of Septic Shock (2025). The consensus proposes that clinical typing of blood flow-oxygen flow should comprehensively consider cardiac function, vascular tone, oxygen flow utilization status in critical units, and disease trajectory, while optimizing subtype identification by integrating host response phenotypes and artificial intelligence technologies. It advocates establishing a continuous assessment system through multi-site oxygen flow monitoring for organ perfusion, peripheral perfusion monitoring, and critical care ultrasound. Under the framework of the "critical care triangle", the consensus promotes the implementation of individualized, bundled management strategies, providing guidance for multiple management points to restore blood flow-oxygen flow matching, reduce the risk of organ failure, and decrease patient mortality.

Background/Aims: Cholangiocarcinoma (CCA) is a primary malignant neoplasm with an extremely poor prognosis. While combined chemoradiotherapy has been demonstrated to delay CCA progression to a certain extent, the absence of specific molecular biomarkers or targets significantly hinders the diagnosis and treatment of CCA. Methods: Through cross-analysis of proteomics and ADMA modificationomics, we identified DDX1 overexpressed in CCA with elevated R602-ADMA modifications. HPLC-MS/MS identified PRMT1 as the methyltransferase and USP10 as the deubiquitinating enzyme for DDX1. Immunofluorescence and nuclear-cytoplasmic partitioning experiments confirmed DDX1’s nuclear localization. GO and KEGG analyses clarify the biological functions of DDX1 in response to hypoxia. RNA-seq transcriptomics analyzed key pathways influenced by DDX1. A hydrodynamic in situ CCA mouse model was established to validate the chemopreventive effects of the PRMT1-specific inhibitor GSK715 on CCA development. Results: DDX1 promotes CCA progression both in vivo and in vitro and can be inhibited by GSK715. Mechanistically, PRMT1 mediates ADMA modification at position R602 of DDX1. This modification promotes DDX1 nuclear localization by recruiting USP10 to deubiquitinate DDX1, while simultaneously inhibiting PRMT1 degradation. DDX1 promotes the transcription of PRMT1 and USP10 by binding to the mRNA 3’UTR region, establishing a positive feedback regulatory pathway. This mechanism promotes the occurrence and development of CCA and can serve as a target for the inhibitor GSK715 to suppress CCA progression. Conclusions Our study identified DDX1-R602-ADMA modification as a novel ADMA modification in CCA. It further confirmed its pivotal role in CCA progression. Targeting the USP10-PRMT1-DDX1 axis may represent a significant therapeutic approach for CCA.

Objective To observe the volume changes of brain regions and their correlation with cognitive function in temporal lobe epilepsy(TLE)patients.Methods Fifty TLE patients(TLE group)and 34 healthy controls(control group)were prospectively enrolled.Brain 3D-T1WI was collected,brain regions were delineated with automated segmentation technique,and hippocampus was segmented additionally with hippocampal brain template(HBT).The volume of brain regions were compared between groups,and the correlation of brain region volume with Montreal cognitive assessment(MoCA)score were analyzed.Results Compared with control group,in TLE group,bilateral cerebrum white matter,right globus pallidus,left posterior cingulate gyrus,left precentral gyrus,right fusiform gyrus,left cerebellum white matter,corpus callosum,left hippocampus(HBT segmentation and conventional segmentation)and right thalamus volumes decreased significantly(all P＜0.05),while right choroid plexus volume increased significantly(P＜0.05).The volume of left hippocampus(HBT segmentation)and right fusiform gyrus were both positively correlated with MoCA score in TLE group(r=0.335,0.376,P=0.009,0.007).Conclusion Widespread atrophy of brain regions could be seen in TLE patients,which were correlated with cognitive function.

Objective To explore the value of spectral CT multi-parameter imaging for diagnosing bronchial anthracofibrosis(BAF)complicated with active pulmonary tuberculosis.Methods Totally 77 patients with BAF complicated with atelectasis were retrospectively enrolled.According to undergoing anti-tuberculosis treatment or not during hospitalization,26 patients complicated with active pulmonarg tuberculosis were divided into group A(n=26),while 51 cases without active pulmonarg tuberculosis were divided into group B.Signs indicating active pulmonary tuberculosis(i.e.tree-in-bud sign or centrilobular nodules)on chest spectral CT images were analyzed.Non-enhanced CT(NECT)values,single-energy CT values at 40 keV(CT40 kev)and 70 keV(CT70 kev),as well as effective atomic number(Zeff),iodine concentration(IC),calcium concentration(CC)and hydroxyapatite concentration(HAP)in the arterial phase and venous phase of enhancement at the site of bronchial obstruction and in subcarinal lymph nodes were measured.the slope of spectral line(λ40-70keV)was calculated and compared between groups.Receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was used to evaluate the efficacy of the above parameter alone and their combinations for diagnosing BAF complicated with active pulmonarg tuberculosis.Results The displaying rate of active pulmonary tuberculosis CT signs in group A was higher than that in group B(P=0.005).NECT values,enhanced venous phase CT40kev,λ40-70 kev,as well as Zeff,IC,CC and HAP at the site of bronchial obstruction in group A were all lower than those in group B(all P＜0.05).The AUC of active pulmonary tuberculosis CT signs for assessing BAF complicated with active pulmonary tuberculosis was 0.659,of the combination of CT quantitative parameters at the site of bronchial obstruction was 0.769,while of the combination of CT signs and CT quantitative parameters was 0.825,higher than of active pulmonary tuberculosis CT signs alone(P＜0.05).Conclusion Spectral CT multi-parameter imaging could be used to effectively diagnose BAF complicated with active pulmonary tuberculosis.

Malignant tumors(commonly referred to as cancer)represent a major global public health challenge and contribute significantly to the worldwide disease burden.Early screening plays a critical role in improving detection rates,enabling timely intervention,and enhancing pa-tient survival rates.However,current cancer screening guidelines primarily focus on site-specific screening,which may not fully address the need for comprehensive early detection.A scientifical-ly rational,multi-cancer screening approach offers several advantages:it optimizes the use of bio-logical samples,reduces time costs for participants,enhances the efficiency and comprehensive-ness of screening,and minimizes overall expenses.Such an approach also facilitates the rational allocation of healthcare resources,ultimately helping to reduce the societal burden of cancer.To address this need,the Cancer Epidemiology Committee of the Chinese Anti-Cancer Association has developed the Expert Consensus on Combined Screening for Common Cancers in China.This consensus integrates multidisciplinary expertise and synthesizes the latest domestic and interna-tional researches on cancer screening,early detection,and treatment for prevalent malignancies.Drawing upon China's unique demographic and healthcare context,as well as practical screening experiences,the consensus provides evidence-based recommendations on target populations,screening technologies,and procedural workflows for multi-cancer screening.These guidelines align with the principles and methodologies established by the World Health Organization(WHO),aiming to:enhance the effectiveness of combined cancer screening in China,improve early detec-tion rates,and provide a scientific foundation for national cancer prevention and control strategies.

Malignant tumors(commonly referred to as cancers)represent a major global public health challenge and contribute substan-tially to the global disease burden.Early screening plays a crucial role in improving detection rates,enabling timely intervention,and enhan-cing patient survival.However,current cancer screening guidelines primarily focus on site-specific screening,which may not fully address the need for comprehensive early detection.A scientifically rational,multi-cancer screening approach offers several advantages:it optimizes the use of biological samples,reduces the time burden for participants,enhances the efficiency and comprehensiveness of screening,and min-imizes overall expenses.Moreover,this approach facilitates rational allocation of healthcare resources,ultimately helping to reduce the soci-etal burden of cancer.To address gap,the Cancer Epidemiology Committee of the China Anti-Cancer Association has developed the Expert Consensus on Combined Screening for Common Cancers.This consensus integrates multidisciplinary expertise and synthesizes the latest do-mestic and international researches on cancer screening,early detection,and treatment of prevalent malignancies.Drawing upon China's unique demographic and healthcare context and practical screening experiences,the consensus provides evidence-based recommendations on target populations,screening technologies,and procedural workflows for multi-cancer screening.These guidelines align with the prin-ciples and methodologies established by the World Health Organization(WHO),aiming to enhance the effectiveness of combined cancer screening in China,improve early detection rates,and provide a scientific foundation for national cancer prevention and control strategies.

Objective To investigate the key targets and pathways of Juhongtai formula granules in improving acute lung injury(ALI).Methods Juhongtai formula granules and their drug-containing serum components were analyzed by UPLC-QTOF-MS/MS,and the active ingredients were screened based on the"Lipinski Rule of Five".The action targets of the above active ingredients were obtained through the TCMSP,Swiss Target Prediction and SuperPred databases,and the ALI-related targets were obtained from the GeneCards,OMIM,PharmGKB,CTD databases and GEO chip.The target protein-protein interaction network was constructed using the String database and Cytoscape to analyze the key targets.The DAVID database was used for GO functional annotation and KEGG pathway enrichment analysis,and the CB-dock2 platform was used for molecular docking verification.After one week of adaptive feeding,the experimental SD rats were randomly divided into the blank group,the model group,the positive control group,the negative control group and the Juhongtai formula granules group,with 6 rats in each group.The rat model of ALI was replicated by tracheal infusion of lipopolysaccharide.The pathological morphology of lung tissues in each group of rats was observed by HE staining,and the mRNA expressions of tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),interleukin-1 β(IL-1β)and nitric oxide were detected by reverse transcription quantitative polymerase chain reaction(RT-qPCR).Results In total,44 components of the Juhongtai formula granules were identified,including 26 drug-containing serum components,and 21 key compounds were screened.A total of 22 intersection targets were obtained.The pathway enrichment results indicated the action of these targets on the advanced glycation end product receptor(AGE-RAGE)and TNF signaling pathways.The docking results showed that limonin,kaempferol and naringenin could be matched with prostaglandin peroxidase 2,nitric oxide synthase 2 and TNF.Animal experiments confirmed that the Juhongtai formula granules can alleviate inflammatory infiltration in lung tissue and reduce the expressions of TNF-α,IL6,IL-1β mRNA and nitric oxide.Conclusion Juhongtai formula granules can inhibit ALI-related inflammatory targets through the synergistic effects of multiple components such as limonin and kaempferol,regulate signaling pathways such as AGE-RAGE and TNF,reduce the production of inflammatory factors and nitric oxide,and improve ALI.