Objective To develop and validate a model to predict the risk of radiation-induced lung injury (RILI) and assess its clinical feasibility. Methods Clinical data from 125 patients with non-small cell lung cancer (NSCLC) were included in the study. The patients were divided into training group (88 cases) and validation group (38 cases). Key predictive factors were identified using univariate and multivariate logistic regression analyses combined with least absolute shrinkage and selection operator (LASSO) regression. A predictive model was constructed and evaluated using a nomogram, receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis. Results The key variables identified by the model were tumor volume (P = 0.017), Eastern Cooperative Oncology Group performance status score (P = 0.035), 95% of the minimum dose to the target volume (P = 0.028), percentage of bilateral lung volume receiving 20 Gy of radiation (P < 0.001), and neutrophil-to-lymphocyte ratio (P = 0.021). The ROC curve showed that the areas under the curve (AUC) for the model in the training and validation groups were 0.987 and 0.992, respectively, indicating good predictive ability. The calibration curve and decision curve further confirmed the accuracy and clinical practicability of the model. Conclusion The predictive model proposed in this study can accurately assess the risk of developing RILI in patients with NSCLC who have undergone radiotherapy, demonstrating its potential value in clinical practice.

Primary liver cancer is one of the most common causes of cancer-related deaths in China,with hepatocellular carcinoma(HCC)accounting for 75%-85%.Approximately 70%of HCC patients are in the advanced stage at the time of diagnosis and miss the opportunity for radical surgery,leading to a poor prognosis.Yttrium-90 microsphere selective internal radiation therapy(90Y-SIRT),an emerging therapeutic modality,delivers radioactive microspheres via the hepatic artery to target tumors and uses beta radiation for localized tumor ablation.Compared to conventional transarterial chemoembolization and pharmacotherapy,90Y-SIRT shows the advan-tages of significant clinical benefits,good safety profiles,and broad applicability across diverse patient populations.This article re-views the advances in the application of 90Y-SIRT in HCC treatment.

Primary liver cancer is a malignant tumor with high incidence and mortality rates worldwide,and the early diagnosis of pri-mary liver cancer and the optimization of precise treatment strategies have become critical issues in the healthcare field.Due to the in-sufficient capabilities for molecular characterization,it is increasingly difficult for traditional imaging techniques to meet clinical needs in the era of precision medicine.Multimodal molecular imaging technology integrates the advantages of imaging modalities such as ul-trasound imaging,magnetic resonance imaging,and optical imaging,thereby achieving synergistic enhancement between molecular bio-logical information of liver cancer and precise anatomical localization and demonstrating a significant value in the diagnosis and treat-ment of liver cancer.This article reviews the advances in the application of multimodal molecular imaging in the early diagnosis,pre-cise treatment,and therapeutic efficacy monitoring of liver cancer.

Neurodegenerative disorders (NDDs) are prevalent chronic conditions characterized by progressive synaptic loss and pathological protein alterations. Increasing evidence suggested that mitochondrial quality control (MQC) serves as the key cellular process responsible for clearing misfolded proteins and impaired mitochondria. Herein, we provided a comprehensive analysis of the mechanisms through which MQC mediates the onset and progression of NDDs, emphasizing mitochondrial dynamic stability, the clearance of damaged mitochondria, and the generation of new mitochondria. In addition, traditional Chinese medicines (TCMs) and their active monomers targeting MQC in NDD treatment have been demonstrated. Consequently, we compiled the TCMs that show great potential in the treatment of NDDs by targeting MQC, aiming to offer novel insights and a scientific foundation for the use of MQC stabilizers in NDD prevention and treatment.

Understanding the metabolism of endogenous and exogenous substances in the human body is essential for elucidating disease mechanisms and evaluating the safety and efficacy of drug candidates during the drug development process. Recent advancements in artificial intelligence (AI), particularly in machine learning (ML) and deep learning (DL) techniques, have introduced innovative approaches to metabolism research, enabling more accurate predictions and insights. This paper emphasizes computational and AI-driven methodologies, highlighting how ML enhances predictive modeling for human metabolism at the molecular level and facilitates integration into genome-scale metabolic models (GEMs) at the omics level. Challenges still remain, including data heterogeneity and model interpretability. This work aims to provide valuable insights and references for researchers in drug discovery and development, ultimately contributing to the advancement of precision medicine.

Objective To investigate the effect and mechanism of Efferocytosis Relatived LncRNA (EFRL) on homocysteine-induced atherosclerosis in macrophage efferocytosis. Methods RAW264.7 cells were cultured in vitro, and the Control group (0 μmol/L Hcy) and Hcy intervention group (100 μmol/L Hcy) were set up. After GapmeR transfection of macrophages with Hcy intervention, EFRL knockdown negative control group (Hcy combined with LNA-NC) and EFRL knockdown group (Hcy combined with LNA-EFRL) were set up. High-throughput sequencing was applied for different expression of LncRNA MSTRG. 88917.16 (EFRL), UCSC was used to analyze its conservation, CPC and CPAT were used to analyze its ability to encode proteins, and GO and KEGG were used to analyze related biological functions. The localization of LncRNA EFRL in macrophages was analyzed by nucleoplasmic separation and RNA-FISH. Quantitative real-time PCR was used to detect the expression levels of LncRNA EFRL and its target gene SPAST in Hcy-treated macrophages. The apoptosis rate of Jurkat cells induced by UV was detected by flow cytometry. In vitro efferocytosis assay combined with immunofluorescence technique was used to analyze macrophage efferocytosis. ELISA was used to detect the levels of interleukin 1β(IL-1β) and IL-18. Results The new LncRNA MSTRG.88917.16 was identified and named EFRL(Efferocytosis Relatived LncRNA). UCSC, CPC and CPAT analyses showed that LncEFRL is highly conserved and does not have the ability to encode proteins. GO and KEGG analyses suggested that LncEFRL may be involved in macrophage efferocytosis. LncRNA EFRL was localized in the nucleus of macrophages as determined by nucleoplasmic separation and RNA-FISH. In comparison to the Control group, the expression levels of LncRNA EFRL and its target gene SPAST in the Hcy group were increased. In comparison to the Control group (0 min), the apoptosis rate of the experimental group (15, 30 min) Annexin V is more than 85%. Compared with Hcy combined with LNA-NC group, Hcy combined with LNA-EFRL group had enhanced macrophage efferocytosis and reduced levels of inflammatory factors. Compared with Hcy combined with LNA-NC group, the expression level of SPAST in Hcy combined with LNA-EFRL group was decreased. Conclusion Inhibition of EFRL expression can alleviate the process of Hcy inhibiting macrophage efferocytosis, and the mechanism is related to the regulation of the downstream target gene SPAST by EFRL.
RNA, Long Noncoding/physiology* ; Animals ; Homocysteine ; Mice ; Macrophages/drug effects* ; Humans ; RAW 264.7 Cells ; Atherosclerosis/chemically induced* ; Apoptosis/genetics* ; Phagocytosis/genetics* ; Jurkat Cells ; Interleukin-1beta/genetics* ; Efferocytosis

This study aims to evaluate the preventive effect of the exogenous protein chIFN-γ-chCD154 against Salmonella typhimurium(S.typhimurium)infection in White Leghorn chick-ens,and the potential mechanism.In this study,Escherichia coli was used to express the proteins chIFN-γ,chCD154 and chIFN-γ-chCD154.Before S.typhimurium infection,the White Leghorn chickens were pre-immunized via drinking water for three consecutive days,and infected with S.typhimurium by gavage.The results from Western blot,quantitative real-time PCR(qRT-PCR)analysis and histopathology analysis showed that compared to chIFN-γ and chCD154,chIFN-γ-chCD154 pre-treatment could synergistically increase the survival rate of infected chickens,reduce the bacterial load in the liver and cecum,and attenuate the pathological damage of liver and cecum.Moreover,chIFN-γ-chCD154 significantly decreased the mRNA expression of Toll-like receptor-4(TLR-4)and myeloid differentiation primary response gene 88(MyD88)in the cecum,and then inhibited the mRNA expression of NF-κB and pro-inflammatory cytokines(TNF-α and IL-6),and maintained the integrity of the intestinal tight junction proteins(zo-1,claudin-1,occlu-din).Compared with single protein pretreatment,chIFN-γ-chCD154 pretreatment significantly up-regulated the mRNA expression of the genes related to the vitamin D(VD)pathway(cyp27b1,VD receptor VDR,antimicrobial peptide AvBD7 and cathelicidin-b1)in S.typhimurium-infected peripheral blood mononuclear cells(PBMCs).The results of colony counting showed that the num-ber of S.typhimurium in the chIFN-γ-chCD154 group were the lowest.Also,chIFN-γ-chCD154 could up-regulate the relative abundance of beneficial bacteria such as Blautia,Ruminococcus,En-terococcus and Faecalibacterium,while down-regulate the relative abundance of harmful bacteria such as Staphylococcaceae in the cecum and improve the intestinal dysbiosis.In conclusion,chIFN-γ-chCD154 could activate the VD-antimicrobial peptide pathway and inhibit the TLR-4/MyD88/NF-κB inflammatory signaling pathway in S.typhimurium-infected chickens,which significantly improve the intestinal barrier function,reduce the inflammatory damage of liver and cecum,im-prove the structure of cecum microbial,promote the health of intestinal tract,and provide theoreti-cal basis for the development of chIFN-γ-chCD154 as a safe and effective alternative antibiotic.

Objective To investigate alterations in serum NOV/CCN3 levels among women during mid-to-late pregnancy and elucidate its association with gestational diabetes mellitus(GDM)and pregnancy outcomes.Methods Based on the results of an oral glucose tolerance test(OGTT),we categorized 252 pregnant women into two groups:the GDM group and the control group.Within the GDM group,participants were further stratified based on pre-pregnancy body mass index levels and pregnancy outcomes.We collected clinical data for all study subjects and compared differences in general information,biochemical indicators,as well as NOV/CCN3 levels between these groups.Results The serum levels of NOV/CCN3 in the GDM group were significantly higher compared to those in the control group(P<0.001).Spearman correlation analysis revealed a positive association between serum NOV/CCN3 and pre-pregnancy body weight,pre-pregnancy body mass index,insulin resistance index,and total cholesterol;while a negative correlation was observed with insulin sensitivity index(P<0.05).Logistic regression analysis demonstrated that NOV/CCN3 is an independent risk factor for the development of GDM[OR=1.097,95%CI(1.020～1.179),P=0.013],as well as adverse pregnancy outcomes in GDM patients[OR=1.032,95%CI(1.020～1.045),P<0.001].ROC analysis indicated AUCs of 0.840 and 0.784 for these associations respectively(P<0.05).Conclusions Serum levels of NOV/CCN3 in pregnant women at mid-to late-stage are associated with obesity,insulin resistance,and glucose-lipid metabolism,suggesting a potential role of NOV/CCN3 in glycolipid metabolism during gestational diabetes mellitus(GDM).These findings provide novel insights for assessing the occurrence of GDM and predicting pregnancy outcomes in mid-to late-stage pregnancies.

Objective To establish a reliable prediction model for radiation pneumonitis(RP)based on multi-regional radiomics analysis of localizable CT images.Methods A retrospective analysis was conducted on 185 patients who received radiotherapy from January 2021 to June 2023 in the Department of Radiotherapy,Xuzhou Cancer Hospital.Patients were classified as having RP or not based on imaging combined with clinical diagnosis.Three regions of interest(ROI)were defined in the localizable CT images:Lung,Lung-PTV and PTV,and their radiomics features were extracted.After feature screening using methods such as Mann-Whitney Utest,recursive feature elimination,and Lasso,a prediction model was established using support vector machine classification algorithm.The model performance was validated using 6 evaluation metrics:the area under the receiver operating characteristic curve(AUC),accuracy,specificity,sensitivity,positive predictive value,and negative predictive value.Results The prediction model consisted of 7 radiomics features.The clinical model of target-to-lung ratio,PTV model,Lung model,and Lung-PTV model achieved AUC values of 0.535,0.801,0.672,and 0.706 in the test set,respectively.The AUC value and accuracy of PTV model reached 0.843 and 0.775 in the training set,while 0.801 and 0.750 in the test set.PTV model was superior to Lung model,Lung-PTV model,and clinical model in predictive performance.The AUC values of the combined PTV+(Lung-PTV)model in the training and test sets were 0.867 and 0.806,respectively,higher than those of PTV model and Lung-PTV model.Conclusion The predictive ability of the prediction models constructed from radiomics features in different ROI for symptomatic RP varies.The radiomics prediction model using PTV as ROI exhibits superior predictive performance,and the combined multi-regional radiomics model can further improve the predictive ability for RP.

Objective To investigate the potential core target and its mechanism of Simiao San(SMS)in the treatment of rheumatoid arthritis(RA)using network pharmacology and animal experiments.Methods Active components and corresponding SMS targets were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and cross-referenced with the Universal Protein(UniProt)database.RA-related targets were screened from The Human Gene Database(GeneCards),Online Mendelian Inheritance in Man(OMIM),Therapeutic Target Database(TTD),DrugBank,and Disease Gene Network(DisGeNet).Protein-protein interaction(PPI)networks were constructed for shared targets between SMS and RA using Search Tool for the Retrieval of Interacting Genes/Proteins(STRING),followed by Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses via The Database for Annotation,Visualization and Integrated Discovery(DAVID).A"herb active component-disease target-signaling pathway"network was established to predict the mechanism of SMS in RA treatment.Molecular docking was performed between aryl hydrocarbon receptor(AHR)and the core active components of SMS to identify AHR-targeting constituents.For animal experiments,30 female SPF-grade C57/BL mice were randomly divided into normal,model,methotrexate(1.52 mg/kg,every 3 days),and SMS(12.48 g/kg,daily)groups with a 30-day intervention.Ankle diameter and arthritis index scores were measured.HE staining was used to assess joint inflammation,whereas immunohistochemistry(IHC)was used to measure cytochrome P450 1A1(CYP1A1),nuclear factor kappa B subunit p65(p65),and phosphorylated p65(p-p65)protein expression levels.Multiplex immunofluorescence(mIHC)was used to evaluate forkhead box protein P3(FOXP3)and interleukin-17A(IL-17A)protein expression.Results Forty-one active components and 228 targets of SMS were identified from TCMSP,whereas 1,207 RA-related targets were extracted from GeneCards,OMIM,TTD,DrugBank,and DisGeNet.Ninety-four overlapping targets were analyzed,yielding 612 GO terms and 143 KEGG pathways.Molecular docking of the ligand-binding domain of AHR with the top 10 Degree values of compounds of SMS(quercetin,stigmasterol,wogonin,beta-sitosterol,kaempferol,baicalein,et al.)revealed that stigmasterol,beta-sitosterol,(S)-canadine,and isocorypalmine was able to bind to AHR stably.In vivo,compared to the model group,the mice of the SMS and methotrexate groups joint swelling and arthritis index scores reduced(P<0.01).IHC indicated elevated CYP1A1 protein and decreased p65 and p-p65 protein levels in the SMS and methotrexate groups(P<0.05,P<0.01).mIHC demonstrated reduced IL-17A and increased FOXP3 protein expression in the SMS and methotrexate groups(P<0.05,P<0.01).Conclusion SMS alleviates joint inflammation in RA mice,potentially by targeting AHR,one of the core targets.SMS may suppress excessive inflammatory responses by activating AHR and inhibiting p65 phosphorylation.Additionally,SMS modulates the helper T cells 17/regulatory T cells balance by downregulating IL-17A and upregulating FOXP3.These results suggest that AHR is a key mediator in T-cell immune regulation.