Primary liver cancer is a malignant tumor with continuously rising incidence and mortality rates worldwide， imposing a heavy burden on patients and society， and hepatocellular carcinoma （HCC） is a common type of primary liver cancer. As one of the important treatment methods for HCC， radiotherapy can effectively control the local growth of tumors and alleviate symptoms in patients. However， radiotherapy resistance seriously affects the treatment effect and has become a major challenge in clinical treatment. Current research shows a complex mechanism of radiotherapy resistance in HCC， involving multiple factors such as abnormal activation of intracellular signaling pathways， changes in tumor microenvironment， and regulation of gene expression. Therefore， a series of strategies have been proposed to address radiotherapy resistance in clinical practice， including regulating cell signaling pathways， improving tumor microenvironment， and combining different treatment modalities， and such strategies have shown promising application prospects. This article reviews the research advances in the mechanism of radiotherapy resistance and related coping strategies， in order to provide new perspectives for future research on radiotherapy for HCC.

Objective:To explore the protective effect of sesquiterpene lactones of Eupatorium lindleyanum DC.(SLEL)on lipopolysac-charide(LPS)-induced acute lung injury(ALI)in rats using metabolomics.Methods:Forty-eight male SD rats were randomly divided into a blank control group(CG),a model control group(MG),low-,medium-,and high-dose SLEL groups(50,100,and 200 mg/kg),and a positive control group(dexamethasone acetate tablets,5 mg/kg).CG and MG groups were given phosphate-buffered saline.All groups received intragastric administration at a dose volume of 10 mL/kg once a day for 7 consecutive days.One hour after the last ad-ministration,LPS(5 mg/kg)was instilled into the trachea of all groups except the CG group to establish the ALI rat model.Twenty-four hours after model establishment,blood was collected from the abdominal aorta and bronchoalveolar lavage fluid(BALF)was col-lected from the left lung.The total number of inflammatory cells,neutrophils,lymphocytes,and eosinophils in BALF was counted by Wright-Giemsa staining.The levels of interleukin-18(IL-18)and interferon-γ(IFN-γ)in serum and BALF were measured by enzyme-linked immunosorbent assay.The pathological changes of lung tissue were observed using hematoxylin-eosin staining.The ex-pression levels of tight junction protein-1(ZO-1)and occludin in lung tissue were determined by Western blot.The mRNA expression levels of IL-18,IFN-γ,ZO-1,and occludin in the lung were measured by real-time fluorescence quantitative PCR.Non-targeted me-tabolomics analysis of serum and lung tissue was performed using ultra-performance liquid chromatography-electrospray ionization-tandem mass spectrometry.Results:Compared with the MG group,all SLEL groups had significantly reduced wet/dry weight ratio of lung tissue,lung coefficient,and total number of inflammatory cells,neutrophils,lymphocytes,and eosinophils in BALF.SLEL signifi-cantly decreased the levels of IL-18 and IFN-γ in serum and BALF and the mRNA expression of IL-18 and IFN-γ in lung tissue,and significantly promoted the protein and mRNA expression of ZO-1 and occludin.Under light microscopy,the degree of lung tissue edema,alveolar hemorrhage,and inflammatory cell infiltration were significantly reduced,indicating a certain protective effect on ALI rats.The results of non-targeted metabolomics studies showed that there were 91 and 33 significantly different metabolites in the serum and lung tissue of rats treated with SLEL,respectively.Among them,the main differential metabolites in the serum were sphingosine,L-lactic acid,nicotinic acid,D-nucleotide,and mevalonate-5P,while the main differential metabolites in the lung tissue were tauro-cholic acid.This suggests that SLEL may mainly affect the metabolic pathways of sphingolipids,pyruvate,nicotinic acid,nicotinamide,and tryptophan in the serum and the metabolic pathways of taurine and hypotaurine in the lung tissue to improve ALI.Conclusion:SLEL has a significant protective effect on rats against LPS-induced ALI,and its mechanism of action may be related to the inhibition of inflammatory factors,improvement of lung barrier function,and regulation of related metabolic pathways.

The female reproductive system is essential for sustaining reproductive endocrine homeostasis,however,its vulnerability to various endogenous and exogenous insults,including pathological conditions,pharmacological agents,genetic predispositions,and environmental factors,often results in compromised fertility.The existing protective approaches(including surgical interventions,hormonal replacement therapies,and assisted reproductive techniques)are constrained by several limitations,such as adverse therapeutic effects,technical complexities,and their incapacity to reverse ovarian senescence.Artemisinin and its derivatives(ARTs),characterized by their unique endoperoxide bridge configuration,have exhibited outstanding therapeutic performance across multiple domains including malaria treatment,anticancer therapy,inflammation modulation,and parasitic infection control.Emerging research has identified their novel protective capabilities against various reproductive system pathologies.This comprehensive review systematically elucidates the molecular mechanisms underlying artemisinin-based interventions in reproductive pathologies and evaluates their clinical translation prospects,thereby proposing innovative strategies for the development of next-generation fertility-protective agents with enhanced safety and efficacy profiles.

Objective:To analyze the changes of DNA methylation in peripheral blood mononuclear cells (PBMC) of patients with hepatocellular carcinoma (HCC) and to evaluate the clinical value of a combined model based on FSIP1 gene methylation on the early diagnosis of HCC.Methods:This is a case-control study. From May 2023 to September 2024, 183 HCC patients and 155 healthy controls were collected in Qilu Hospital of Shandong University. The selected study subjects were divided into three cohorts: 14 HCC patients and 39 healthy controls formed the discovery cohort, a screening cohort consisted of 36 HCC patients and 39 healthy controls, 133 HCC patients and 77 healthy controls were included in the model construction cohort. 935k methylation chip analysis was used to identify specific differentially methylated sites in peripheral blood PBMC of the discovery cohort. The absolute value of the average methylation level difference between HCC group and healthy control group (|Δβ|) and P value were calculated. Then targeted bisulfite sequencing was used to verify the differentially methylated sites in the screening cohort. Finally, based on MethylTarget methylation sequencing technology, differential methylation sites were further verified in model construction cohort (divided into training set and validation set, training set consisted of 99 HCC patients and 57 healthy controls; validation set consisted of 34 HCC patients and 20 healthy controls). HCC early diagnosis model was constructed by random forest algorithm combined with clinical parameters and the diagnostic performance of the model was evaluated by receiver operating characteristic (ROC) curve in the validation set. Results:The total of 7 249 differentially methylated sites between HCC patients and healthy controls in discovery cohort were selected under the rule of |Δβ|≥0.06 and P<0.01. Among them, the cg02155073 site located on FSIP1 was hypermethylated in PBMC of HCC patients in the screening cohort and model cohort ( P<0.001). The AUC of HCC early diagnosis model (FmAP) based on FSIPI in the validation set was 0.967 (95% CI 0.924-1.000); sensitivity was 88%, specificity was 95%. The model had good diagnostic efficacy for patients with early HCC, stage Ⅰ-Ⅱ HCC AUC was 0.958 (95% CI 0.898-1.000). The FmAP model also had diagnostic value for tumor size <2 cm HCC and AFP negative HCC, with AUC of 0.955 (95% CI 0.898-1.000) and 0.964 (95% CI 0.934-0.994).The sensitivity were 92% and 93% and specificity both were 84%. Conclusion:The FmAP model based on FSIP1 gene methylation has good clinical value for the early diagnosis of hepatocellular carcinoma.

Objective To explore the value of serum matrix metalloproteinase 7 combined with glutamyl transferase and total bile acids in the diagnosis of biliary atresia.Methods 112 children hospitalized in Kunming Children's Hospital with the cholestatic jaundice from July 2023 to September 2024 were selected as the research subjects.According to the surgical exploration,intraoperative cholangiography,liver biopsy and follow-up,the children were divided into the biliary atresia group(BA)(n=52)and non-biliary atresia group(Non-BA)(n=60)respecvely.The age,gender,serum matrix metalloproteinase 7(MMP-7),glutamyl transferase(GGT),alanine aminative aminotransferase(ALT),aspartate aminotransferase(AST),total bilirubin(TB),direct bilirubin(DB),total bile acid(TBA)and aspartate aminotransferase/platelet index(APRI)were compared between the two groups.Statistically significant indicators were included in receiver operating characteristic curve(ROC)analysis,and the area under the ROC curve(AUC)and optimal diagnostic margin(Youden index)were calculated.Results There was no significant difference in age,ALT,AST,DB,TB and APRI levels between the two groups of patients(P>0.05);There was a difference in gender composition ratio between the two groups(P=0.006);MMP-7,GGT,TBA levels in the BA group were significantly higher than those in the Non-BA group,and the difference was statistically significant(P<0.05);the AUC of MMP-7,GGT,and TBA in diagnosing BA were 0.946(95%CI 0.897～0.996),0.857(95%CI 0.789～0.926),0.654(95%CI 0.552～0.755)respectively;When the cut-off value of MMP-7 was 22.37 ng/ml,the sensitivity and specificity for diagnosing BA were 0.923 and 0.933 respectively;When the cut-off value of GGT was 151.5 U/L,the sensitivity and specificity of diagnosing BA were 0.885 and 0.733 respectively;When the cut-off value of TBA was 119.5 μmol/L,the sensitivity and specificity of diagnosing BA were 0.788 and 0.500,respectively.The AUC of MMP-7+GGT and MMP-7+TBA combined to diagnose BA were 0.971(95%CI 0.946～0.997)and 0.943(95%CI 0.889～0.996)respectively.Conclusion Serum MMP-7 has the good diagnostic value as a single indicator for diagnosing BA;MMP-7 combined with GGT is better than a single indicator for diagnosing BA;MMP-7 combined with TBA cannot improve the diagnostic efficiency.

Sinopodophyllum hexandruma is a traditional Chinese medicine in China,which is mostly distributed in Gansu,Shaanxi,Sichuan,Qinghai,Yunnan and Xizang,etc.In recent years,with the gradual deepening of the research on the chemical composition and pharmacology-toxicology of Sinopodophyllum hexandruma,its antitumour and antiviral pharmacodynamic evaluation has increasingly become a research hotspot in the industry.Based on the chemical structure,pharmacological properties and the theoretical basis of quality markers(Q-markers),this paper presents an in-depth literature review and analysis of the chemical composition,pharmacological activities and Q-markers of Sinopodophyllum hexandruma,and systematically explores and predicts the Q-markers of Sinopodophyllum hexandruma.It is proposed that Podophyllotoxin,picropodophyllotoxin,podophyllotoxinone,quercetin,kaempferol,quercetin-3-O-β-glucoside can be used as the Q-marker of Sinopodophyllum hexandruma.In the later stage,these index components can be selected to control the whole quality of Sinopodophyllum hexandrum,and provide some data support and theoretical reference for the quality evaluation of Sinopodophyllum hexandrum.

The female reproductive system is essential for sustaining reproductive endocrine homeostasis,however,its vulnerability to various endogenous and exogenous insults,including pathological conditions,pharmacological agents,genetic predispositions,and environmental factors,often results in compromised fertility.The existing protective approaches(including surgical interventions,hormonal replacement therapies,and assisted reproductive techniques)are constrained by several limitations,such as adverse therapeutic effects,technical complexities,and their incapacity to reverse ovarian senescence.Artemisinin and its derivatives(ARTs),characterized by their unique endoperoxide bridge configuration,have exhibited outstanding therapeutic performance across multiple domains including malaria treatment,anticancer therapy,inflammation modulation,and parasitic infection control.Emerging research has identified their novel protective capabilities against various reproductive system pathologies.This comprehensive review systematically elucidates the molecular mechanisms underlying artemisinin-based interventions in reproductive pathologies and evaluates their clinical translation prospects,thereby proposing innovative strategies for the development of next-generation fertility-protective agents with enhanced safety and efficacy profiles.

Sinopodophyllum hexandruma is a traditional Chinese medicine in China,which is mostly distributed in Gansu,Shaanxi,Sichuan,Qinghai,Yunnan and Xizang,etc.In recent years,with the gradual deepening of the research on the chemical composition and pharmacology-toxicology of Sinopodophyllum hexandruma,its antitumour and antiviral pharmacodynamic evaluation has increasingly become a research hotspot in the industry.Based on the chemical structure,pharmacological properties and the theoretical basis of quality markers(Q-markers),this paper presents an in-depth literature review and analysis of the chemical composition,pharmacological activities and Q-markers of Sinopodophyllum hexandruma,and systematically explores and predicts the Q-markers of Sinopodophyllum hexandruma.It is proposed that Podophyllotoxin,picropodophyllotoxin,podophyllotoxinone,quercetin,kaempferol,quercetin-3-O-β-glucoside can be used as the Q-marker of Sinopodophyllum hexandruma.In the later stage,these index components can be selected to control the whole quality of Sinopodophyllum hexandrum,and provide some data support and theoretical reference for the quality evaluation of Sinopodophyllum hexandrum.

Objective:To analyze the changes of DNA methylation in peripheral blood mononuclear cells (PBMC) of patients with hepatocellular carcinoma (HCC) and to evaluate the clinical value of a combined model based on FSIP1 gene methylation on the early diagnosis of HCC.Methods:This is a case-control study. From May 2023 to September 2024, 183 HCC patients and 155 healthy controls were collected in Qilu Hospital of Shandong University. The selected study subjects were divided into three cohorts: 14 HCC patients and 39 healthy controls formed the discovery cohort, a screening cohort consisted of 36 HCC patients and 39 healthy controls, 133 HCC patients and 77 healthy controls were included in the model construction cohort. 935k methylation chip analysis was used to identify specific differentially methylated sites in peripheral blood PBMC of the discovery cohort. The absolute value of the average methylation level difference between HCC group and healthy control group (|Δβ|) and P value were calculated. Then targeted bisulfite sequencing was used to verify the differentially methylated sites in the screening cohort. Finally, based on MethylTarget methylation sequencing technology, differential methylation sites were further verified in model construction cohort (divided into training set and validation set, training set consisted of 99 HCC patients and 57 healthy controls; validation set consisted of 34 HCC patients and 20 healthy controls). HCC early diagnosis model was constructed by random forest algorithm combined with clinical parameters and the diagnostic performance of the model was evaluated by receiver operating characteristic (ROC) curve in the validation set. Results:The total of 7 249 differentially methylated sites between HCC patients and healthy controls in discovery cohort were selected under the rule of |Δβ|≥0.06 and P<0.01. Among them, the cg02155073 site located on FSIP1 was hypermethylated in PBMC of HCC patients in the screening cohort and model cohort ( P<0.001). The AUC of HCC early diagnosis model (FmAP) based on FSIPI in the validation set was 0.967 (95% CI 0.924-1.000); sensitivity was 88%, specificity was 95%. The model had good diagnostic efficacy for patients with early HCC, stage Ⅰ-Ⅱ HCC AUC was 0.958 (95% CI 0.898-1.000). The FmAP model also had diagnostic value for tumor size <2 cm HCC and AFP negative HCC, with AUC of 0.955 (95% CI 0.898-1.000) and 0.964 (95% CI 0.934-0.994).The sensitivity were 92% and 93% and specificity both were 84%. Conclusion:The FmAP model based on FSIP1 gene methylation has good clinical value for the early diagnosis of hepatocellular carcinoma.

The accuracy of quantitative hormone testing has been concerned by clinical and laboratory professionals. Most of the small molecule hormones in human body have the characteristics of low concentration and similar structure, and need to be detected by high sensitivity and high specificity detection technology to achieve accurate quantification. In the past 20 years, liquid chromatography-tandem mass spectrometry (LC-MS) has gradually moved from scientific research to clinical application because of its unique sensitivity and specificity, which is considered to be a powerful supplement to traditional immunological methods, and has continuously achieved important fruits in clinical disease diagnosis and treatment. In order to further explore the application value of mass spectrometry technology in the quantitative detection of hormones, the Chinese Journal of Laboratory Medicine invited experts from the fields of clinical endocrinology and laboratory medicine to summarize their experience and opinions on the performance characteristics, challenges and future development direction of mass spectrometry technology in clinical hormone testing. Experts agreed that the advantages of mass spectrometry technology in hormone testing have been very clear, could effectively solve some clinical challenges in the diagnosis and treatment of endocrine diseases, but still faces a series of challenges such as insufficient talent reserve, low sample throughput, high operating costs and lack of standardized management.