ObjectiveTo investigate the changes in chemical components of Gardeniae Fructus（GF） before and after being charred， providing data support for research on the material basis of GF Carbonisata（GFC）. MethodsUltra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Orbitrap MS/MS） was used to conduct a comprehensive analysis of the chemical components in GF and GFC under positive and negative ion modes with Compound Discoverer 3.3 software and online database. Then， principal component analysis and partial least squares-discriminant analysis in SIMCA14.1 software were used to analyze the MS data of each sample. Based on the principle of variable importance in the projection（VIP） value>1， differential secondary and primary metabolites before and after carbonization were screened. In addition， MetaboAnalyst website was used for pathway enrichment of Kyoto Encyclopedia of Genes and Genomes（KEGG）， so as to provide a reference for clarifying the processing mechanism. ResultsA total of 185 components were identified， including 96 secondary metabolites and 89 primary metabolites. These components were classified into nine categories， primarily including iridoid glycosides， flavonoids， and terpenoids， their fragmentation pathways were also analyzed. Simultaneously， multivariate statistical analysis was performed on the secondary and primary metabolites， identifying 70 and 59 differential metabolites， respectively. The secondary metabolites were enriched in two metabolic pathways， including C5-branched dibasic acid metabolism and flavonoid and flavonol biosynthesis， while the primary differential metabolites were enriched in seven pathways such as linoleic acid metabolism and tyrosine metabolism. ConclusionThe chemical components of GF change significantly after carbonization， with a significant decrease in the contents of iridoid glycosides and terpenoids such as hydroxyisogeniposide， crocin Ⅱ， crocetin， and jasminoside B. while the contents of 4-hydroxycoumarin， geniposidic acid， gentiopicroside， and gardenoside methyl ester increase significantly. This change is presumed to be associated with the enhanced cooling and hemostatic effects of the processed products. The identified key components provide a basis for elucidating the material basis underlying the efficacy changes before and after carbonization.

BACKGROUND:It has been found that abnormal apoptosis of bone tissue cells induced by abnormal iron metabolism plays an important role in the progression of osteoporosis. OBJECTIVE:To investigate the effect of naringin on iron metabolism and cell apoptosis in bone tissue of rats with osteoporosis. METHODS:Fifty 2-month-old female Sprague-Dawley rats were randomly divided into five groups with 10 rats in each group:sham group,osteoporosis group,naringin low-dose group,naringin high-dose group,and naringin high-dose+DKK-1 group.Except for the sham group,rat models of osteoporosis were established by removing bilateral ovarian tissues in the other groups.At 8 weeks after modeling,rats in the naringin low-and high-dose groups were given 100 and 400 mg/kg/d naringenin by gavage,respectively,and rats in the naringenin high dose+DKK-1 group were given 400 mg/kg/d naringin by gavage and subcutaneous injection of 25 mg/kg/d DKK-1,an inhibitor of the Wnt1 signaling pathway,for 7 consecutive days.Relevant indexes were detected after administration. RESULTS AND CONCLUSION:Compared with the osteoporosis group,naringin could enhance the bone mineral density and serum calcium and superoxide dismutase levels in rats(P<0.05),and reduce the serum levels of osteocalcin,malondialdehyde,and phosphorus(P<0.05),while DKK-1 could partially inhibit the interventional effect of naringin(P<0.05).Results from Micro-CT scanning,hematoxylin-eosin and TUNEL staining showed that compared with the osteoporosis group,naringin significantly improved bone microstructure and reduced the rate of cell apoptosis,while DKK-1 partially inhibited the interventional effect of naringin.Immunofluorescence staining results showed that compared with the osteoporosis group,naringin could reduce the oxygen content,anti-tartaric acid phosphatase expression,and elevate the expression of alkaline phosphatase in active tibia tissues(P<0.05),while DKK-1 could partially inhibit the interventional effect of naringin(P<0.05).Results from Prussian blue staining and immunohistochemical staining showed that compared with the osteoporosis group,naringin reduced iron deposition in bone and liver tissues as well as the expression of transferrin receptor 1(P<0.05),and elevated the protein expression of ferroportin 1(P<0.05)in bone tissue,and DKK-1 partially inhibited the intervention of naringin(P<0.05).PCR and western blot assay of tibia specimens showed that compared with the osteoporosis group,naringin decreased the expression of anti-tartrate acid phosphatase,transferrin receptor 1 and Bax(P<0.05),and elevated the expression of alkaline phosphatase,ferroportin 1,Bcl-2,Wnt1 and β-catenin(P<0.05),while DKK-1 partially inhibited the interfering effect of naringin(P<0.05).To conclude,naringin inhibits the progression of osteoporosis by reducing iron deposition and apoptosis rate in bone tissue,which may be related to the activation of the Wnt1 signaling pathway.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To develop habitat radiomics models to predict early treatment responses to the hepatic arterial infusion chemotherapy (HAIC) combined with targeted therapy or immunotherapy in advanced hepatocellular carcinoma (HCC) patients, and to guide clinical diagnosis and treatment.Methods:From October 2021 to Decemeber 2023, at Army Characteristic Medical Center of PLA (Chongqing Daping Hospital) and the First Affiliated Hospital of Chongqing Medical University, 94 patients with advanced HCC who received HAIC combined with targeted therapy or immunotherapy were retrospectively enrolled. According to the treatment results, the patients were divided into response group and non-response group. Univariate and multivariate logistic regression were performed to analyze the clinical data of the patients. Based on contrast-enhanced CT images, tumor habitats were delineated and habitat features were extracted with k-means clustering, and the imaging features of arterial and venous phases were also extracted. The least absolute shrinkage and selection operator (LASSO) was used for dimensionality reduction. Feature selection was performed using LASSO to reduce dimensions, and then the selected features were further refined through stepwise logistic regression analysis.Binary logistic regression models were conducted to develop the habitat radiomics model, arterial phase radiomics model (APRM), venous phase radiomics model (VPRM), clinical data model, as well as the combination of radiomics model and clinical data model to predict early treatment (after 2 treatment cycles) response. Receiver operating characteristic curves (ROC) were plotted, and model performance was evaluated by the area under the curve (AUC), calibration curves, and decision curve. The models were validated through Bootstrap methods (1 000 times). DeLong test was used to compare AUC values.Results:The results of cluster analysis identified 3 characteristic habitats in HCC imaging: low-, medium-, and high-enhancement tumor habitats. The proportion of high-enhancement habitats was higher than that in the non-response group. A predictive model was established based on the proportions of these 3 habitats. Based on the proportion of low-, medium-, and high-enhancement habitats within the tumor, a habitat radiomics model was constructed. After LASSO selection and logistic regression analysis, 3 arterial phase and 3 venous phase radiomic features were selected to build the APRM and VPRM, respectively. Logistic regression analysis identified the following factors for the clinical data model: comorbidities ( OR=0.275, P=0.031), maximum tumor diameter ( OR=1.149, P=0.019), red blood cell count ( OR=0.463, P=0.022), alpha fetoprotein >400 μg/L ( OR=3.452, P=0.017), and tyrosine kinase inhibitor therapy ( OR=3.072, P=0.048). Among the single predictive model′s comparison, the AUC of habitat radiomics model was 0.860 (95% confidence interval(95% CI): 0.789 to 0.932), while those of the APRM、VPRM and clinical data model were 0.850 (95% CI: 0.773 to 0.926), 0.855 (95% CI: 0.782 to 0.928), and 0.774 (95% CI: 0.681 to 0.867), respectively, and there were no statistically significant among these models (all P>0.05). Among the combination models, the AUC of the habitat rediomic-clinical data combination model was 0.881 (95% CI: 0.814 to 0.947); the AUC of arterial phase rediomic-clinical data combination model was 0.897 (95% CI: 0.833 to 0.961); and the AUC of venous phase rediomic-clinical data combination model was 0.888 (95% CI: 0.826 to 0.951), but there were no statistically significant among the 3 models (all P>0.05). The calibration curve showed that the habitat rediomic-clinical data combination model had the most accurate predictive probability. Internal validation showed that the AUC of habitat rediomic-clinical data combination model was 0.848 (95% CI: 0.772 to 0.922), and the predictive performance was better than that of the clinical-data model (0.733 (95% CI: 0.670 to 0.863)). Conclusion:The habitat radiomics model based on enhanced CT can effectively predict early treatment responses to the HAIC combined with targeted therapy or immunotherapy in advanced HCC patients, which provides theoretical basis for individualized treatment in advanced HCC.

Purpose To explore the predictive value of CT-enhanced for tumor mutation burden(TMB)in hepatocellular carcinoma(HCC).Materials and Methods A total of 22 patients with pathologically confirmed HCC after undergoing radical resection in the First Affiliated Hospital,Army Medical University(Third Military Medical University)from January 2020 to January 2023 were collected,all of whom were quantified for TMB.Clinical,laboratory tests,CT imaging characteristics and follow-up of patients were recorded.Variables with P<0.2 were screened by stepwise regression analysis for independent risk factors for TMB.The area under the curve of receiver operating characteristic was used to assess the diagnostic efficacy.Results High TMB level was a risk factor for disease-free survival after HCC surgery(HR=1.115,P<0.05).According to the optimal cut-off value,TMB was classified into a high-risk group(>9.25 mutation/Mb)and low-risk group(≤9.25 mutation/Mb).Univariate analysis of intratumor ischemia or necrosis was statistically different between the high-risk and low-risk groups(P=0.005),and only intratumor ischemia or necrosis was an independent risk factor for predicting high TMB level by stepwise regression analysis(P<0.05).The area under the curve for predicting disease-free survival was 0.833(95%CI 0.615-0.956,P<0.001),with a sensitivity of 100.0%and a specificity of 66.7%.Conclusion High TMB level is associated with poor prognosis after HCC resection.Intratumor ischemia or necrosis have certain clinical value in predicting high TMB level,and are expected to provide a reference basis for personalized diagnosis and treatment of HCC patients.

The objective of this study was to evaluate the toxicity and safety of novel Mycobacterium tuberculosis fusion strain protein derivatives,referred to as B/R strain active proteins.In cellular experiments,RAW264.7 cells were treated with each vaccine preparation,and apoptosis rates were measured.In subsequent animal experiments,C57BL/6 mice were immunized via subcutaneous injection,and their survival and body weight changes were monitored and recorded at 2,4,8,12,and 16 weeks.The lungs and spleens were harvested to calculate organ coefficients,and pathological examinations were conducted.At the eighth week of immunization,the mice were infected with high concentrations of BCG,and pathological changes in the lungs and spleens were observed 4 weeks post-infection.The apoptosis rate at 6 hours was significantly higher in the experimental group than the PBS group(P<0.05).At 12 and 24 hours,the apoptosis rate in the experimental group remained higher than that in the PBS group,although this difference was not statistically significant.After immunization,mice in all four groups exhibited normal growth patterns,as indicated by stable body weight changes.At 4 and 12 weeks post-immunization,the lung coefficients in the protein group were significantly higher than those in the PBS group at the same time points.Additionally,the lung coefficients in the BCG group were significantly elevated across all time periods(P<0.05).The spleen coefficients in the protein and BCG groups were significantly higher than those in the PBS group at 2,4,8,12,and 16 weeks,whereas the ICD B/R group showed higher spleen coefficients than the PBS group only at week 8(P<0.05).Pathological examination revealed normal lung and spleen tissues in the PBS group.However,during the 2-8 weeks immunization period,lung and spleen tissues in all experimental groups exhibited varying degrees of damage,which gradually diminished by 12-16 weeks.Notably,no tuberculosis nodules were observed in any experimental group.After infection with high concentrations of BCG,no overt pathological changes were observed on the surfaces of the lungs and spleens in any group.Microscopic examination revealed less severe pathological changes in the lungs and spleens of mice in the experimental groups than the PBS group.Furthermore,no statistically significant differences were observed between the protein group and the BCG group.Our findings suggested that the B/R strain active proteins'toxicity and safety profiles were comparable to those of BCG,and showed immunoprotective effects.This study provides an experimental foundation for the development of a novel tuberculosis vaccine.

Sarcoidosis was a rare granulomatous disease that mainly affects the lungs and superficial lymph nodes,followed by the skin and eyes.This article reported a case of sarcoidosis patient with hypercalcemic crisis and renal failure as the main manifestations,its clinical manifestations were unique,and the diagnostic process was challenging and complex.The final diagnosis was confirmed through bronchoscopy lung tissue biopsy,and after treatment with glucocorticoids,both blood calcium and renal function improved significantly compared to before.At present,there was no relevant literature reports on cases of sarcoidosis characterized by hypercalcitonin crisis and renal failure in clinical practice.This article reported a case of sarcoidosis characterized by hypercalcitonin crisis and renal failure,and conducted literature review to provide reference for clinical doctors to identify and diagnose sarcoidosis,and actively take corresponding treatment measures to avoid further damage to the patient's target organs caused by the disease.

Aim To investigate the neuroprotective effect of Takeda G protein-coupled receptor-5(TGR5)activated by INT-777 on hypoxic-ischemic encephalop-athy(HIE)in neonatal rats.Methods Seven-day-old SD rats were randomly divided into the sham opera-tion group(Sham,S),model group(HIE,G),INT-777 low-dose(L),medium-dose(M),and high-dose(H)groups.The modified Rice-Vanucci method was used to construct the HIE model and Intranasal admin-istration 1 h after modeling.Short-term neurobehavioral tests were performed 48 h after modeling to evaluate the neurological function of neonatal rats,TTC staining was used to determine the volume of cerebral infarction,dry and wet specific gravity was used to determine the brain water content,ferrous ion kit was used to deter-mine the brain ferrous ion content,HE staining was used to observe the pathological damage of brain tis-sue,Nissl staining was used to observe the loss of Nissl substance,Transmission electron microscopy(TEM)was used to observe the mitochondrial morphological changes of cortical neurons,and Western blot was em-ployed to detect the expression of ferroptosis-related proteins TFR1 and GPX4.Results Compared with group S,group G had increased short-term neurobehav-ioral test consumption time,higher scores,increased cerebral infarct volume,brain water content,and brain ferrous iron content,significant brain tissue damage on the affected side,severe loss of Nissl substance,smaller neuronal mitochondria,decreased mitochondrial cris-tae,and increased expression of TFR1 and reduced ex-pression of GPX4.Compared with group G,the INT-777 administration group had a shorter consumption time for short-term neurobehavioral tests,lower scores,the cerebral infarction volume,brain water content,and brain ferrous ion content decreased,the brain tissue damage on the affected side was reduced,and there was insignificant loss of Nissl substance,larger neuronal mi-tochondrial volume,increased mitochondrial cristae,re-duced expression of TFR1,and increased expression of GPX4.Conclusions INT-777 agonist TGR5 has a protective effect against hypoxic-ischemic encephalopa-thy in neonatal rats,and its mechanism of action may be related to the inhibition of neuronal ferroptosis.

Erector spinae plane block(ESPB)is a fascia plane block technique that involves injecting local anesthetics between the erector spinae muscle and the transverse processes of the spine.It blocks the posterior branches of the spinal nerves to provide perioperative analgesia for spinal surgeries.In recent years,ESPB has been increasingly widely used in spinal surgery analgesia due to its relatively simple operation,high safety and significant clinical benefits.However,its mechanism of action and the best application strategy still need to be further explored.This article systematically reviews the anatomical basis,mechanism of action,op-eration methods,drug selection,analgesic effect in various spinal surgeries,comparative advantages with other commonly used analgesic methods,and potential complications of ESPB,aiming to provide a reference for the clinical application of ESPB.

Remimazolam is a novel ultra-short-acting benzodiazepine characterized by rapid metabolism via hydrolysis by non-specific esterases.This mechanism enables fast onset and quick recovery,significantly shortening the duration of anesthesia and effectively reducing the risk of drug accumulation in the body.It ex-hibits high binding specificity for the γ-aminobutyric acid(GABA)receptor,leading directly to central nerv-ous system inhibition and producing a pronounced sedative effect.This profile offers a more precise and con-trollable approach to anesthesia in clinical practice.The safety and efficacy of remimazolam have been demon-strated across various clinical settings,including procedural sedation,induction and maintenance of general an-esthesia,and sedation in the intensive care unit(ICU).Its adverse effects are relatively infrequent and highly predictable,as substantiated by numerous clinical trials;however,the optimization of its dosing regimens re-quires further in-depth investigation.This review summarized the pharmacological properties of remimazolam and provides a detailed discussion on the impact of various factors on its pharmacodynamics.These factors in-clude basic patient characteristics(such as gender,age,obesity,hepatic and renal function,and circadian rhythms)and external influences(such as altitude and drug interactions).