Objective： To investigate the relationship between the lipid metabolism-related gene sterol carrier protein 2(SCP2) and prostate cancer (PCa) from a multi-omics perspective using single-cell transcriptomes combined with Mendelian randomization. Methods： Single-cell transcriptome data of benign and malignant prostate tissues were obtained from GSE120716, GSE157703 and GSE141445 datasets, respectively. Integration, quality control and annotation were performed on the data to categorize the epithelial cells into high and low SCP2 expression groups, followed by further differential and trajectory analyses. Single nucleotide polymorphism (SNP) data for SCP2 expression quantitative trait loci (eQTL) were subsequently downloaded from Genotype-Tissue Expression (GTEx) and investigated from the PCa Society Cancer-Related Genomic Alteration Panel for the Investigation of Cancer-Related Alterations (PRACTICAL) to obtain PCa outcome data for Mendelian randomization analysis to validate the causal relationship between SCP2 and PCa. Results： High SCP2-expressing epithelial cells had higher energy metabolism and proliferation capacity with low immunotherapy response and metastatic tendency. Trajectory analysis showed that epithelial cells with high SCP2 expression may have a higher degree of malignancy, and SCP2 may be a key marker gene for differentiation of malignant epithelial cells in the prostate. Further Mendelian randomization results showed a significant causal relationship between SCP2 and PCa development (OR=1.045, 95% CI: 1.010 －1.083, P=0.011). Conclusion： By combining single-cell transcriptome and Mendelian randomization, the role of the lipid metabolism-related gene SCP2 in PCa development has been confirmed, and new targets and therapeutic directions for PCa treatment have been provided.
Humans ; Prostatic Neoplasms/genetics* ; Male ; Mendelian Randomization Analysis ; Polymorphism, Single Nucleotide ; Quantitative Trait Loci ; Single-Cell Analysis ; Sequence Analysis, RNA ; Carrier Proteins/genetics* ; Transcriptome ; Lipid Metabolism

Lung cancer is the most common malignant tumor worldwide, ranking first in both incidence and mortality rates. According to the latest statistics from the International Agency for Research on Cancer (IARC), approximately 2.5 million new cases and around 1.8 million deaths from lung cancer occurred in 2022, placing a tremendous burden on global healthcare systems. The high mortality rate of lung cancer is closely linked to its subtle early symptoms, which often lead to diagnosis at advanced stages. This not only complicates treatment but also results in substantial economic losses. Current treatment options for lung cancer include surgery, radiotherapy, chemotherapy, targeted drug therapy, and immunotherapy. Among these, immunotherapy has emerged as the most groundbreaking advancement in recent years, owing to its unique antitumor mechanisms and impressive clinical benefits. Unlike traditional therapies such as radiotherapy and chemotherapy, immunotherapy activates or enhances the patient’s immune system to recognize and eliminate tumor cells. It offers advantages such as more durable therapeutic effects and relatively fewer toxic side effects. The main approaches to lung cancer immunotherapy include immune checkpoint inhibitors, tumor-specific antigen-targeted therapies, adoptive cell therapies, cancer vaccines, and oncolytic virus therapies. Among these, immune checkpoint inhibitors and tumor-specific antigen-targeted therapies have received approval from the U.S. Food and Drug Administration (FDA) for clinical use in lung cancer, significantly improving outcomes for patients with advanced non-small cell lung cancer. Although other immunotherapy strategies are still in clinical trials, they show great potential in improving treatment precision and efficacy. This article systematically reviews the latest research progress in lung cancer immunotherapy, including the development of novel immune checkpoint molecules, optimization of treatment strategies, identification of predictive biomarkers, and findings from recent clinical trials. It also discusses the current challenges in the field and outlines future directions, such as the development of next-generation immunotherapeutic agents, exploration of more effective combination regimens, and the establishment of precise efficacy prediction systems. The aim is to provide a valuable reference for the continued advancement of lung cancer immunotherapy.

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Glutamine provides carbon and nitrogen to support the proliferation of cancer cells. However, the precise reason why cancer cells are particularly dependent on glutamine remains unclear. In this study, we report that glutamine modulates the tumor suppressor F-box and WD repeat domain-containing 7 (FBW7) to promote cancer cell proliferation and survival. Specifically, lysine 604 (K604) in the sixth of the 7 substrate-recruiting WD repeats of FBW7 undergoes glutaminylation (Gln-K604) by glutaminyl tRNA synthetase. Gln-K604 inhibits SCFFBW7-mediated degradation of c-Myc and Mcl-1, enhances glutamine utilization, and stimulates nucleotide and DNA biosynthesis through the activation of c-Myc. Additionally, Gln-K604 promotes resistance to apoptosis by activating Mcl-1. In contrast, SIRT1 deglutaminylates Gln-K604, thereby reversing its effects. Cancer cells lacking Gln-K604 exhibit overexpression of c-Myc and Mcl-1 and display resistance to chemotherapy-induced apoptosis. Silencing both c-MYC and MCL-1 in these cells sensitizes them to chemotherapy. These findings indicate that the glutamine-mediated signal via Gln-K604 is a key driver of cancer progression and suggest potential strategies for targeted cancer therapies based on varying Gln-K604 status.
Glutamine/metabolism* ; Myeloid Cell Leukemia Sequence 1 Protein/genetics* ; Humans ; Proto-Oncogene Proteins c-myc/genetics* ; Cell Proliferation ; Signal Transduction ; Neoplasms/pathology* ; F-Box-WD Repeat-Containing Protein 7/genetics* ; Cell Survival ; Cell Line, Tumor ; Apoptosis

Aim To investigate the antagonistic effect of Schizandrin A(SchA)on oxidative stress-induced endothelial dysfunction and its mechanism of action.Methods Human umbilical vein endothelial cells(HUVECs)were selected as the research subjects,and the effects of SchA on cell viability were detected by MTT assay;the content of ROS in the cells was detec-ted by flow cytometry;the content of MDA and CAT in the cells,and the content of NO and ET-1 in the cell supernatant were detected by kit assay;and the expres-sion of SOD1,p-eNOS/eNOS proteins,and ET-1 in the cell supernatant were detected by Western blot.Immu-nofluorescence experiments were performed to detect Nrf2 entry into the nucleus of cells.Results SchA re-versed the LPS-or hypoxia-induced increase in ROS and MDA content as well as the decrease in SOD1 and CAT content in HUVECs by activating the Nrf2/Keap1/HO-1 signaling pathway.SchA inhibited the decrease of p-eNOS and eNOS protein expression in HUVECs cells,as well as NO content in cell culture medium and the increase of ET-1 content induced by LPS.The Nrf2 inhibitor ML385 reversed the antagonis-tic effects of SchA on oxidative stress and endothelial dysfunction.Conclusions SchA antagonized LPS and hypoxia-induced oxidative stress,and SchA amelio-rated oxidative stress-induced endothelial dysfunction by up-regulating the Nrf2/Keap1/HO-1 signaling path-way.

Objective:The relationship between benign prostatic hyperplasia(BPH)and the oxidative balance score(OBS)will be discussed in this study.Methods:The clinical data on 16 dimensions of diet and 4 dimensions of lifestyle from the National Health and Nutrition Examination Survey(NHANES)from 2001 to 2008 were used to calculate OBS.We considered BPH as the out-come and investigated the linear and nonlinear relationships between the two.Additionally,subgroup analyses and interaction tests were conducted as well.Furthermore,the methods of machine learning including XGBoost,support vector machine(SVM)and naive Bayes(NB)were used to establish a predictive model for BPH.Results:Higher OBS was consistently associated with an increased preva-lence of BPH,with Restricted Cubic Splines highlighting a significant positive nonlinear association(P=0.015).Subgroup analyses revealed differences and interactive relationships based on alcohol consumption.Among the seven machine learning models that we in-cluded the OBS score in,the XGBoost model emerged as the best,with an AUC value of 0.769.Conclusion:There is a significant association between OBS and the prevalence of BPH in the American population,which provides a valuable insight for further diagnosis and research of the disease.

Aim To investigate the antagonistic effect of Schizandrin A(SchA)on oxidative stress-induced endothelial dysfunction and its mechanism of action.Methods Human umbilical vein endothelial cells(HUVECs)were selected as the research subjects,and the effects of SchA on cell viability were detected by MTT assay;the content of ROS in the cells was detec-ted by flow cytometry;the content of MDA and CAT in the cells,and the content of NO and ET-1 in the cell supernatant were detected by kit assay;and the expres-sion of SOD1,p-eNOS/eNOS proteins,and ET-1 in the cell supernatant were detected by Western blot.Immu-nofluorescence experiments were performed to detect Nrf2 entry into the nucleus of cells.Results SchA re-versed the LPS-or hypoxia-induced increase in ROS and MDA content as well as the decrease in SOD1 and CAT content in HUVECs by activating the Nrf2/Keap1/HO-1 signaling pathway.SchA inhibited the decrease of p-eNOS and eNOS protein expression in HUVECs cells,as well as NO content in cell culture medium and the increase of ET-1 content induced by LPS.The Nrf2 inhibitor ML385 reversed the antagonis-tic effects of SchA on oxidative stress and endothelial dysfunction.Conclusions SchA antagonized LPS and hypoxia-induced oxidative stress,and SchA amelio-rated oxidative stress-induced endothelial dysfunction by up-regulating the Nrf2/Keap1/HO-1 signaling path-way.

Aim To anticipate the mechanism of zuka- mu granules (ZKMG) in the treatment of bronchial asthma, and to confirm the projected outcomes through in vivo tests via using network pharmacology and molecular docking technology. Methods The database was examined for ZKMG targets, active substances, and prospective targets for bronchial asthma. The protein protein interaction network diagram (PPI) and the medication component target network were created using ZKMG and the intersection targets of bronchial asthma. The Kyoto Encyclopedia of Genes and Genomics (KEGG) and gene ontology (GO) were used for enrichment analysis, and network pharmacology findings were used for molecular docking, ovalbumin (OVA) intraperitoneal injection was used to create a bronchial asthma model, and in vivo tests were used to confirm how ZKMG affected bronchial asthma. Results There were 176 key targets for ZKMG's treatment of bronchial asthma, most of which involved biological processes like signal transduction, negative regulation of apoptotic processes, and angiogenesis. ZKMG contained 194 potentially active components, including quercetin, kaempferol, luteolin, and other important components. Via signaling pathways such TNF, vascular endothelial growth factor A (VEGFA), cancer pathway, and MAPK, they had therapeutic effects on bronchial asthma. Conclusion Key components had strong binding activity with appropriate targets, according to molecular docking data. In vivo tests showed that ZKMG could reduce p-p38, p-ERKl/2, and p-I

Objective:To analyze the correlation between oral health behaviors and the incidence of dental caries two years later in infants and toddlers.Methods:It was a retrospective cohort study. Based on the Beijing Stomatological Public Project Network data system, 1 663 children were recruited to participate in 0-3 years project in 2021 and 3-6 years fluoridated foam project in 2023. In 2021, the children were 2 years old, the parents answered 11 questions related to dental caries in the children. The children with four or more caries-inducing factors were classified as having a "high risk" of developing dental caries, otherwise, they were classified as "low risk". In 2023, the children were 4 years old, and their caries status was checked by the dentists. The correlation between different caries risk levels at the age of 2 and caries status at the age of 4 in the children was compared.Results:Infants who often fell asleep with milk, drank night milk at night, and rarely gargle or drink water after eating had a relatively high caries rate and caries after 2 years, and the difference was statistically significant (all, P<0.05). Infants whose parents did not brush their teeth every day, did not floss, and ate sweets or snacks twice or more a day had a relatively high caries rate and caries after 2 years, and the difference was statistically significant (all, P<0.001). The caries risk of 1 174 (70.6%) 2-year-old children was rated as "dangerous", and that of 489 (29.6%) 2-year-old children was rated as "safe". After 2 years, the incidence of dental caries in "dangerous" group was higher than that in the "safe" group (52.7% vs 41.5%, χ2=17.36, P<0.001), and the DMFT index in "dangerous" group was also higher than that in the "safe" group (1(0, 4)比0(0, 2), H=-4.789, P<0.001). Conclusions:Oral health behavior is closely related to the incidence of dental caries caries 2 years later in infants and toddlers, and questionnaire-based caries risk assessment is feasible.

AIM To study the chemical constituents from the ethanol precipitated sediment of Radix Isatidis and their anti-inflammatory activities.METHODS The effects of ethanol precipitated sediment on IL-6 and TNF-α levels were detected by LPS-induced RAW264.7 cell inflammation model and enzyme-linked immunosorbent assay.The chemical constituents were analyzed by UPLC-QTOF-MS/MS and high performance molecular exclusion method.RESULTS When the concentration of Radix Isatidis ethanol sediment were 200 and 400 μg/mL,it could significantly inhibit the release of IL-6 and TNF-α.The ethanol sediment of Radix Isatidis was mainly composed of polysaccharides and proteins,including trace amounts of lipopeptides,indoles and amino acids,among which polysaccharides were mainly glucans.CONCLUSION The constituents from the ethanol sediment of Radix Isatidis are sugars,alkaloids(indoles),amino acids,and organic acids(fatty acids),and they may exert anti-inflammatory effects by synergistic manner.