Chaihu Guizhi Ganjiangtang was first recorded in the Treatise on Cold Damage （Shang Han Lun）. This prescription is composed of Bupleuri Radix， Scutellariae Radix， Cinnamomi Ramulus， Zingiberis Rhizoma， Trichosanthis Radix， Ostreae Concha， and Glycyrrhizae Radix et Rhizoma. It has the effects of soothing Lesser Yang， warming the spleen， and stimulating the generation of body fluid. It is mainly used to treat digestive tract diseases such as chronic cholecystitis （CC）， irritable bowel syndrome， and non-alcoholic fatty liver disease. Dyspepsia caused by CC presents a variety of gastrointestinal symptoms such as abdominal pain， poor appetite， postprandial fullness， aversion to greasy food， soft stool， and bitter mouth， being a type of biliary dyspepsia. In modern medicine， dyspepsia caused by CC is mainly managed by medical treatment and surgical treatment. Internal medicine mainly focuses on reducing inflammation， promoting the function of gallbladder， resolving stones， alleviating spasms， and relieving the pain for CC， demonstrating definite short-term efficacy but suffering from single effects， high recurrence rate， and poor compliance. Although surgical treatment can cure cholecystitis， it is accompanied by the increased incidence of adverse events such as abdominal pain， diarrhea， and dyspepsia. Modern clinical studies have confirmed that Chaihu Guizhi Ganjiangtang can significantly alleviate the symptoms such as abdominal pain and dyspepsia of CC patients. Pharmacological studies have found that Chaihu Guizhi Ganjiangtang mainly contains active ingredients such as Bupleuri Radix saponins， baicalin， cinnamaldehyde， gingerol， Trichosanthis Radix polysaccharide， Ostreae Concha polysaccharide， and Glycyrrhizae Radix et Rhizoma total flavonoids. Chaihu Guizhi Ganjiangtang can ameliorate the symptoms of dyspepsia caused by CC by inhibiting inflammatory responses， improving gallbladder contraction and gastrointestinal motility， regulating the bile acid-intestinal flora axis and the brain-gut axis， and modulating blood lipids through multiple targets. By reviewing the previous literature， this article summarizes the research progress in the treatment of dyspepsia caused by CC with Chaihu Guizhi Ganjiangtang and its main active ingredients as well as the pathogenesis of this disease and puts forward the shortcomings and improvement strategies for the current research. The review aims to provide a reference for the further research on Chaihu Guizhi Ganjiangtang in the treatment of dyspepsia caused by CC.

Lipid metabolism reprogramming is a metabolic hallmark of hepatocellular carcinoma （HCC） initiation and progression. It encompasses aberrant activation of de novo lipogenesis （DNL）， remodeling of the membrane phospholipid polyunsaturated fatty acid （PUFA）/monounsaturated fatty acid （MUFA） ratio， upregulation of the mevalonate （MVA） pathway， and compensatory activation of subcellular antioxidant networks. Together with liver-specific dysregulation of iron homeostasis， these alterations shape a dual metabolic landscape in which ferroptosis susceptibility and resistance coexist， thereby driving malignant progression and therapeutic tolerance. In traditional Chinese medicine （TCM）， the core pathogenesis of HCC is conceptualized as the interplay of dampness， heat， stasis， toxin， and deficiency， which is intrinsically consistent at the biological level with the aforementioned lipid accumulation， redox imbalance， and disordered iron metabolism. According to the three therapeutic principles of clearing heat， detoxifying， and resolving dampness， activating blood to dispel stasis and counteract toxins， and reinforcing healthy Qi to consolidate the root， this review systematically delineates the molecular mechanisms by which the active components of traditional Chinese medicine modulate the lipid-ferroptosis network. Active components including berberine， tanshinone Ⅱ_A， and ginsenosides cooperatively induce ferroptosis in HCC by disrupting the cystine/glutamate antiporter-glutathione-glutathione peroxidase 4 （System Xc^-/GSH/GPX4） antioxidant axis， upregulating long-chain acyl-CoA synthetase 4 （ACSL4） to promote PUFA-containing membrane lipid peroxidation， perturbing nuclear factor erythroid 2-related factor 2/Kelch-like ECH-associated protein 1 （NRF2/KEAP1） and protein kinase R-like endoplasmic reticulum kinase/activating transcription factor 4 （PERK/ATF4） signaling pathways， and disrupting ferritin homeostasis. On this basis， the review evaluates the translational prospects of these components in reversing tyrosine kinase inhibitor （TKI） resistance， sensitizing immune checkpoint inhibitor therapy， and enabling nanocarrier-mediated delivery， with the aim of providing a pharmacological basis for the development of TCM candidate agents targeting the lipid-ferroptosis axis and for the optimization of therapeutic strategies integrating Chinese and Western medicine.

Objective:To evaluate strategies for screening and diagnosing Lynch syndrome associated endom-etrial carcinoma(LS-EC)in clinical practice and analyze clinicopathological characteristics of LS-EC.Methods:A total of 258 patients with endometrial carcinoma who underwent surgery in The Fourth Hospital of Hebei Medical University from January 2019 to January 2022 were included.All enrolled patients underwent postoperative immu-nohistochemical testing for mismatch repair(MMR)proteins.Based on the expression status of the four MMR proteins,the patients were divided into deficient mismatch repair(d-MMR)group(57 cases)and proficient mis-match repair(p-MMR)group(201 cases).Among them,23 patients in the d-MMR group underwent germline gene testing for Lynch syndrome(LS).According to germline gene testing results,these patients were further classified into LS-EC(n=8)and non-LS-EC(n=15)groups.Clinicopathological features of LS-EC patients were analyzed.Results:Among the 258 endometrial carcinoma patients,57cases(22.1%)exhibited d-MMR,with MLH1 and PMS2 co-deletion being the most common(61.4%,35/57).Among the23 d-MMR patients who under-went genetic testing,8 cases(34.8%)were identified as having LS-EC,including 5 cases(62.5%)of MLH1 gene mutation,1 case(12.5%)of MSH2 gene mutation,1 case(12.5%)of PMS2 gene mutation and 1 case(12.5%)of MSH6 gene mutation.Compared with the non-LS-EC group,the LS-EC patients showed significant familial aggregation and higher pathological grade(P<0.05).Conclusions:Immunohistochemical analysis of MMR proteins combined with family history represents an effective screening strategy for LS-EC,however defini-tive diagnosis requires germline genetic testing.Among LS-EC cases,MLH1 is the most frequently mutated gene.LS-EC patients are characterized by familial clustering and high pathological grade.Discrepancies between immu-nohistochistochemistry and genetic testing results present challenges in the definitive diagnosis of LS-EC.

Objective:To evaluate the cost-effectiveness of Artificial Intelligence(AI)-assisted physician image interpretation in the screening of early-stage lung cancer(stage Ⅰ)from the perspective of the healthcare system,so as to provide evidence for screening strategy optimization.Methods:Based on community populations,a decision tree model was constructed to simulate the cost-effectiveness of two screening strategies:Al-assisted physician image interpretation and independent physician image interpretation,and the Incremental Cost-Effectiveness Ratio(ICER)was calculated.Results:In the basic analysis,the per capita costs of the AI-assisted group and the physician group were 1 483 yuan and 1 489 yuan,respectively,and the effectiveness was 17.02 Quality-Adjusted Life Years(QALYs)and 16.99 QALYs,respectively.Compared with the physician group,the AI-assisted group saved 6 yuan per case and obtained an additional 0.03 QALY per case.The ICER was negative,indicating that the AI-assisted group had an absolute advantage.Threshold analysis showed that when the inspection cost of Al-assisted physician image interpretation increased to 428 yuan per case,the average cost per case was the same between these two groups,and the ICER was 0.When the inspection cost of Al-assisted physician image interpretation was above 428 yuan,the ICER was positive,still demonstrating economic efficiency.Conclusion:AI-assisted image interpretation is cost-effective in the screening of early-stage lung cancer and can facilitate the"early detection,early diagnosis,and early treatment"of lung cancer based on improving the efficiency and accuracy of screening,so as to provide scientific support for health system resource optimization.

Objective:To evaluate strategies for screening and diagnosing Lynch syndrome associated endom-etrial carcinoma(LS-EC)in clinical practice and analyze clinicopathological characteristics of LS-EC.Methods:A total of 258 patients with endometrial carcinoma who underwent surgery in The Fourth Hospital of Hebei Medical University from January 2019 to January 2022 were included.All enrolled patients underwent postoperative immu-nohistochemical testing for mismatch repair(MMR)proteins.Based on the expression status of the four MMR proteins,the patients were divided into deficient mismatch repair(d-MMR)group(57 cases)and proficient mis-match repair(p-MMR)group(201 cases).Among them,23 patients in the d-MMR group underwent germline gene testing for Lynch syndrome(LS).According to germline gene testing results,these patients were further classified into LS-EC(n=8)and non-LS-EC(n=15)groups.Clinicopathological features of LS-EC patients were analyzed.Results:Among the 258 endometrial carcinoma patients,57cases(22.1%)exhibited d-MMR,with MLH1 and PMS2 co-deletion being the most common(61.4%,35/57).Among the23 d-MMR patients who under-went genetic testing,8 cases(34.8%)were identified as having LS-EC,including 5 cases(62.5%)of MLH1 gene mutation,1 case(12.5%)of MSH2 gene mutation,1 case(12.5%)of PMS2 gene mutation and 1 case(12.5%)of MSH6 gene mutation.Compared with the non-LS-EC group,the LS-EC patients showed significant familial aggregation and higher pathological grade(P<0.05).Conclusions:Immunohistochemical analysis of MMR proteins combined with family history represents an effective screening strategy for LS-EC,however defini-tive diagnosis requires germline genetic testing.Among LS-EC cases,MLH1 is the most frequently mutated gene.LS-EC patients are characterized by familial clustering and high pathological grade.Discrepancies between immu-nohistochistochemistry and genetic testing results present challenges in the definitive diagnosis of LS-EC.

Objective:To evaluate the cost-effectiveness of Artificial Intelligence(AI)-assisted physician image interpretation in the screening of early-stage lung cancer(stage Ⅰ)from the perspective of the healthcare system,so as to provide evidence for screening strategy optimization.Methods:Based on community populations,a decision tree model was constructed to simulate the cost-effectiveness of two screening strategies:Al-assisted physician image interpretation and independent physician image interpretation,and the Incremental Cost-Effectiveness Ratio(ICER)was calculated.Results:In the basic analysis,the per capita costs of the AI-assisted group and the physician group were 1 483 yuan and 1 489 yuan,respectively,and the effectiveness was 17.02 Quality-Adjusted Life Years(QALYs)and 16.99 QALYs,respectively.Compared with the physician group,the AI-assisted group saved 6 yuan per case and obtained an additional 0.03 QALY per case.The ICER was negative,indicating that the AI-assisted group had an absolute advantage.Threshold analysis showed that when the inspection cost of Al-assisted physician image interpretation increased to 428 yuan per case,the average cost per case was the same between these two groups,and the ICER was 0.When the inspection cost of Al-assisted physician image interpretation was above 428 yuan,the ICER was positive,still demonstrating economic efficiency.Conclusion:AI-assisted image interpretation is cost-effective in the screening of early-stage lung cancer and can facilitate the"early detection,early diagnosis,and early treatment"of lung cancer based on improving the efficiency and accuracy of screening,so as to provide scientific support for health system resource optimization.

OBJECTIVE To screen the prescription and preparation method of Bupleurum nanoemulsion, and evaluate its quality, study the antipyretic effect. METHODS The emulsifier and co-emulsifier of the nanoemulsion were preliminarily screened, and then the prescription was screened by pseudo-ternary phase diagram. The quality evaluation of the appearance, particle size distribution, structure type, stability and content of the prepared Bupleurum nanoemulsion was performed. Wistar rats were further randomly divided into blank control group, model control group, positive control group(aspirin group), Bupleurum nanoemulsion high-dose, medium-dose and low-dose groups(18.00, 9.00, 3.00 g·kg−1). Except for the blank control group, the pathological model of fever rats was prepared in the other groups. According to the scheduled experimental requirements, rats in each group were given the corresponding drugs. And the temperature changes of rats in each group were recorded at 0.5, 1, 1.5, 2, 3 h to observe the antipyretic effect of Bupleurum nanoemulsion. RESULTS The best prescription of Bupleurum nanoemulsion: Tween-80 6 g and n-butanol 3 g, Bupleurum extract dissolved in pure water as water phase 20 mL, Bupleurum oil as oil phase 2 g. At room temperature, the Bupleurum nanoemulsion was a yellow-brown clear and transparent liquid, O/W nanoemulsion, with an average particle size of (77.21±3.66)nm, polydispersity index of 0.28±0.04, Zeta potential of (–18.81±1.42)mV, and saikosaponin content of 3.071 mg·mL−1, with good stability. In animal experiments, compared with the model control group, the rectal temperature of aspirin group and Bupleurum nanoemulsion high-dose group was significantly lower after the first administration(P<0.01), the rectal temperature of Bupleurum nanoemulsion middle-dose group was significantly lower after the first administration 2, 3 h(P<0.01). CONCLUSION The Bupleurum nanoemulsion is transparent and stable, and it has good antipyretic effect on fever rat model.

Although the development of COVID-19 vaccines has been a remarkable success, the heterogeneous individual antibody generation and decline over time are unknown and still hard to predict. In this study, blood samples were collected from 163 participants who next received two doses of an inactivated COVID-19 vaccine (CoronaVac®) at a 28-day interval. Using TMT-based proteomics, we identified 1,715 serum and 7,342 peripheral blood mononuclear cells (PBMCs) proteins. We proposed two sets of potential biomarkers (seven from serum, five from PBMCs) at baseline using machine learning, and predicted the individual seropositivity 57 days after vaccination (AUC = 0.87). Based on the four PBMC's potential biomarkers, we predicted the antibody persistence until 180 days after vaccination (AUC = 0.79). Our data highlighted characteristic hematological host responses, including altered lymphocyte migration regulation, neutrophil degranulation, and humoral immune response. This study proposed potential blood-derived protein biomarkers before vaccination for predicting heterogeneous antibody generation and decline after COVID-19 vaccination, shedding light on immunization mechanisms and individual booster shot planning.
Humans ; COVID-19 Vaccines ; Leukocytes, Mononuclear ; Proteomics ; COVID-19/prevention & control* ; Vaccination ; Antibodies ; Antibodies, Viral ; Antibodies, Neutralizing

Objective: To explore the effect of C1q / tumor necrosis factor-related protein 9 ( CTRP9 ) on the expression of genes and proteins related to lipid metabolism of brown adipose tissue (BAT) in mice after cold stimulation． Methods : C57BL /6J male mice were injected with adenovirus Ad-GFP (control group) or Ad-CTRP9 ( experience group) into the scapular region and kept for 7 days．After cold stimulation at 4 ℃ for 10 hours，the expression levels of BAT marker genes and proteins were detected by real time PCR and Western blot. Results: Overexpression of CTRP9 induced by cold stimulation significantly increased the mRNA level of iodothyronine deiodinase 2 (Dio2) in BAT (P＜0. 01) ．Additionally，there was no significant difference in the expression of BAT marker genes ( UCP-1，PGC-1 α , PRDM16 and ARβ3) ，and liposynthesis and lipolysis related genes (PPARγ , HSL and ATGL) ．Uncoupling protein 1 (UCP-1) protein expression was upregualted in Ad-CTRP9 compared to the Ad-GFP control group ，while the expression of lipolysis related protein adipose triglyceride lipase ( ATGL) decreased significantly (P＜0. 05) ． Conclusion In cold environment，overexpression of CTRP9 promotes the accumulation of UCP-1 protein in BAT，upregulates the expression of thyroid hormone signal related gene Dio2，and inhibits triglyceride hydrolysis to maintain a constant body temperature.

Objective To explore the possibility of β-lactoglobulin(BLG)as carrier of tamoxifen.Methods The binding mechanism of BLG and tamoxifen was studied by spectroscopic technique.Results Tamoxifen would lead to the fluorescence quenching of BLG,and its Kq value was much higher than the maximal Kq value of the dynamic quenching constant[(2.0 × 1010 mol/(L·s)].The quench-ing constant values were different under different pH values,and the values of thermodynamic parame-ters △H and △S were greater than 0.BLG can be combined with tamoxifen to form BLG-tamoxifen complex,and the endothermic process took hydrophobic force as the main force.Tamoxifen and BLG had different binding patterns under acidic and alkaline conditions,which mainly depended on the opening and closing state of the EF ring of BLG.Conclusion BLG has the ability to bind tamoxifen,which shows the potential value of BLG as a carrier of insoluble drugs.