ObjectiveTo establish a tumor prognostic risk assessment model related to target genes of the miR-34 family. MethodsTarget genes of the miR-34 family were screened， and the scores of miR-34 target genes were assessed in 16 tumor types. Univariate Cox regression analysis was used to identify the tumor type with the strongest correlation between miR-34 target gene scores and overall survival （OS）. Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses were performed to elucidate the functional roles and signaling pathways of miR-34 target genes. A prognostic risk model based on the miR-34 target genes was constructed using univariate Cox and LASSO regression analyses. Quantitative real-time PCR （qPCR） and dual-luciferase reporter assays were conducted to validate whether the target genes bind to miR-34 and measure their RNA expression levels in the relevant tumors. Additionally， the risk score was integrated with other clinical indicators to develop a nomogram prediction model for patient survival. ResultsA total of 65 target genes of the miR-34 family were screened. The cancer type exhibiting stronger correlation between the target gene scores and OS was lung adenocarcinoma （P = 0.003， HR= 5.150）. Furthermore， miR-34 target genes were predominantly enriched in oxidative stress pathways and various tumor-related processes. Three genes， LDHA， GALNT7， and SATB2， were identified as core components of the prognostic analysis model for lung adenocarcinoma. Additionally， the constructed nomogram model demonstrated robust predictive performance. ConclusionThe risk model and prognosis model of lung adenocarcinoma constructed based on the key target genes of miR-34 have good predictive performance.

BACKGROUND: The incidence and mortality rates of lung cancer remain on the rise, creating an urgent need for screening among high-risk populations and early prevention. This study aims to explore the association and interaction between multidimensional lifestyle, socioeconomic status, and the incidence of lung cancer, and to provide scientific evidence for screening high-risk populations and preventing lung cancer. METHODS: Healthy lifestyle score was constructed using information on smoking, alcohol consumption, exercise, diet and sleep obtained through a questionnaire survey. Socioeconomic status was evaluated based on information on education, employment, and family income, and genetic testing data were used to assess the risk of genetic variation. A proportional hazards assumption test was conducted, and the Cox proportional hazards model was applied to analyze the associations between healthy lifestyle scores, socioeconomic status, and lung cancer, as well as the interactions among various factors, after adjusting for the risk of genetic variation, age, gender, diabetes, hypertension and the living environment score. RESULTS: A total of 245,538 samples that entered the cohort from March, 2006 to October, 2010 were included and followed up until December 31, 2022. The participants were divided into the case group (n=1472) and the control group (n=244,066). The analysis results showed that after adjusting for covariates, there was still an association between the healthy lifestyle score, socioeconomic status, and the incidence of lung cancer: compared with participants with a high healthy lifestyle score, the risk of lung cancer in participants with medium and low healthy lifestyle scores was significantly increased, with hazard ratios (HR) of 2.12 (95%CI: 1.86-2.41) and 3.36 (95%CI: 2.82-3.99) respectively; compared with participants with high socioeconomic status, the risk of lung cancer in participants with medium and low socioeconomic status was significantly increased, with HR of 1.29 (95%CI: 1.13-1.48) and 1.67 (95%CI: 1.46-1.90) respectively. Moreover, there were interactions between smoking status and socioeconomic status (Pfor interaction=0.05), as well as the other four lifestyle factors (Pfor interaction=0.02). CONCLUSIONS This study identified the association between multidimensional lifestyle factors and socioeconomic status with the incidence of lung cancer, as well as interactions between smoking and socioeconomic status and four other lifestyle factors, providing a scientific basis for screening and prevention in high-risk populations for lung cancer.
Humans ; Lung Neoplasms/epidemiology* ; Male ; Female ; Middle Aged ; Incidence ; Life Style ; Social Class ; Aged ; Adult ; Risk Factors

Psoriasis is an incurable chronic inflammatory disease that requires new interventions. Here, we found that fibroblasts exacerbate psoriasis progression by promoting macrophage recruitment via CCL2 secretion by single-cell multi-omics analysis. The natural small molecule celastrol was screened to interfere with the secretion of CCL2 by fibroblasts and improve the psoriasis-like symptoms in both murine and cynomolgus monkey models. Mechanistically, celastrol directly bound to the low-density lipoprotein receptor-related protein 1 (LRP1) β-chain and abolished its binding to the transcription factor c-Jun in the nucleus, which in turn inhibited CCL2 production by skin fibroblasts, blocked fibroblast-macrophage crosstalk, and ameliorated psoriasis progression. Notably, fibroblast-specific LRP1 knockout mice exhibited a significant reduction in psoriasis like inflammation. Taken together, from clinical samples and combined with various mouse models, we revealed the pathogenesis of psoriasis from the perspective of fibroblast-macrophage crosstalk, and provided a foundation for LRP1 as a novel potential target for psoriasis treatment.

Gelsemium elegans (G. elegans) is an extremely poisonous plant that is widely distributed in southern China and southeastern Asia. G. elegans poisoning events occur frequently in southern China, and are therefore an urgent public health problem requiring multidisciplinary action. However, the toxic components and toxicological mechanisms remain unclear. Here, we describe a systematic investigation on the toxic components of G. elegans, resulting in the isolation and identification of 120 alkaloids. Based on acute toxicity screening, the structure-toxicity relationship of Gelsemium alkaloids was proposed for the first time. Moreover, gelsedine- and humantenine-type alkaloids were detected in the clinical blood sample, and were confirmed to be causative in the poisoning. The most toxic compound, gelsenicine (1), had selective inhibitory effects toward ventral respiratory group (VRG) neurons in the medulla, which is the main brain region controlling respiration in the central nervous system. Gelsenicine (1) strongly inhibited the firing of action potentials in VRG neurons through its ability to stimulate GABA_A receptors, the main receptors involved in inhibitory neurotransmission. Application of GABA_A receptor antagonists successively reversed action potential firing in gelsenicine (1)-treated VRG neurons. Importantly, the GABA_A receptor antagonists securinine and flumazenil significantly increased the survival of poisoned animals. Our findings provide insight into the components and mechanisms of G. elegans toxicity, and should assist the development of effective emergency treatments for G. elegans poisoning.

Objective To investigate the mechanism by which Huangqi Guizhi Wuwu decoction(HQGZWWD)regulates nerve injury(NI)through vascular endothelial growth factor(VEGF)pathway based on a combination of network pharmacology and molecular docking techniques.Methods Active ingredients and targets of HQGZWWD were identified through the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform.A drug-ingredient-target network was constructed by integrated with data from OMIM,GeneCards,and CTD databases to identify VEGF/NI-related targets.Protein-protein interaction analyses were conducted by using STRING network platform,which were further analyzed by using the DAVID database for Gene Ontology/Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment.A"compound-target-pathway"network was constructed by using Cytoscape.Molecular docking was performed to validate the binding ability of core components with the targets.Results The primary constituents(quercetin,kaempferol)and principal targets[signal transducer and activator of transcription 3(STAT3),caspase 3,epidermal growth factor receptor(EGFR),etc.]of HQGZWWD were identified.KEGG analysis revealed that the targets were enriched cancer,EGFR inhibitor resistance,and advanced glycation end-products-receptor for advanced glycation end-products etc.signaling pathways.Molecular docking demonstrated binding energy between core components and STAT3,caspace 3,EGFR,etc.,specifically,the core components exhibited strong binding energy such as STAT3(≤-7.37kcal/mol).Conclusion HQGZWWD shows potency in suppressing inflammation,oxidative stress,and apoptosis,while promoting neural repair through VEGF regulation.The integration of network pharmacology and molecular docking offers a foundational framework for mechanistic investigations.

Objective To explore and construct the clinical questions and outcome indicators of the Clinical Practice Guideline of Acupuncture and Moxibustion Treatment for Irritable Bowel Syndrome;To provide a basis for the subsequent preparation of this guide to form recommendations.Methods First,by searching the databases of seven major Chinese and English journals,including CNKI,the preliminary list of clinical problems and outcome indicators in the Clinical Practice Guideline of Acupuncture and Moxibustion Treatment for Irritable Bowel Syndrome were sorted out,and then the clinical questions and outcome indicators that formed the recommendations of the guide were finally determined based on the modified Delphi method in the form of three rounds of online.The first two rounds were conducted in the form of online questionnaires filled out by experts,and the importance ratings of clinical issues and outcome indicators were imported into the SPSS 27.0 software for statistical analysis.The first and second rounds of clinical questions and outcome indicators were rated as the average score≥4,full score frequency≥30%,and the coefficient of variation≤25%,respectively;the inclusion criteria for entering the second round of evaluation were an average score of≥7 and an average score of≤25%.The third round would be further discussed and voted on by experts in an online consensus meeting,with a voting rate of≥80%as the standard to determine the final items to be included in the guidelines.Results A total of 109 questionnaires were distributed nationwide in the first round of inquiry,and 107 were collected;a total of 20 questionnaires were distributed for the second round of expert research,and 20 were collected.The positive coefficients of the first and second rounds of experts were 98.17%and 100%;the Cronbach coefficients of clinical questions were 0.937 and 0.943,respectively;the Cronbach coefficients of the outcome indicators were 0.970 and 0.940,respectively.In the third round,a total of 22 experts participated in the meeting and all voted,resulting in a positive coefficient of 100%and an authority coefficient of 0.88.13 clinical questions and 17 outcome indicators were finally included in Clinical Practice Guideline of Acupuncture and Moxibustion Treatment for Irritable Bowel Syndrome.Conclusion According to the results of the above three rounds of modified Delphi method,it indicates that the questionnaire survey in the process of formulating the guidelines is highly reliable,which can provide a reliable basis for the writing of this guide,and to provide a reference for the development of acupuncture guidelines in related fields.

Objective To evaluate the effects of lysine inositol vitamin B12 oral solution in conjunction with recombinant human growth hormone(rhGH)on bone mineral density(BMD)and insulin-like growth factor-1(IGF-1)levels in children with idiopathic short stature.Methods A total of 92 children diagnosed with idiopathic dwarfism at the Affiliated Hospital of Chengde Medical College between August 2021 and March 2024 were recruited and randomly divided into two groups using a random number table method.The rhGH group received recombinant human growth hormone(rhGH)at a dose of 0.15 U/kg/day,while the comprehensive treatment group received lysyl myo-inositol and vitamin B12 oral solution in addition to rhGH.Growth and development indices,IGF-1 levels,bone metabolism markers,serum calcium,serum phosphorus,and vitamin D levels were compared between the two groups.Additionally,adverse reactions were monitored and recorded for both groups.Results Comparison of growth and development indicators in children with idiopathic dwarfism before treatment between the two groups showed no significant difference(P>0.05).After 12 months of treatment,both groups exhibited increased growth rates,height standard deviation scores,and body mass indices compared to pre-treatment levels,with the com-bined group showing significantly higher values than the rhGH group(P<0.05).Similarly,there was no signifi-cant difference in IGF-1 levels between the two groups before treatment(P>0.05).However,at 6 and 12 months post-treatment,IGF-1 levels were significantly higher in both groups compared to baseline,with the combined group demonstrating significantly greater increases than the rhGH group(P<0.05).Regarding bone metabolism parameters,blood calcium,blood phosphorus,and vitamin D levels,no significant differences were observed between the two groups prior to treatment(P>0.05).At 12 months post-treatment,bone mineral density,bone alkaline phosphatase(BAP),typeⅠprocollagen amino-terminal propeptide(PINP),blood calcium,blood phos-phorus,and vitamin D levels were significantly higher in both groups compared to pre-treatment levels,with the combined group showing significantly greater improvements than the rhGH group(P<0.05).Cumulative adverse effects did not differ significantly between the integrated group and the rhGH group(P>0.05).Conclusion The combination of lysine,inositol,vitamin B12 oral solution and rhGH enhances bone metabolism and promotes growth in children with idiopathic short stature.

Epimedium sagittatum is a perennial herb of Berberidaceae. Its leaves have a long history of medicinal use in China. This plant is widely used as a Chinese traditional medicine，with the main functions of tonifying kidney Yang，strengthening bones and muscles，and dispelling wind and dampness. It can be used for treating kidney Yang deficiency，impotence，spermatorrhea，flaccidity of bones and muscles，rheumatic arthralgia，numbness，and spasms. The chemical constituents of this plant include flavonoids，polysaccharides，lignans，and alkaloids. Flavonoids are the main active ingredients. These compounds show a wide range of biological activities，including cartilage repair，anti-aging，anti-fatigue，cough-relieving，blood glucose-lowering，and anti-tumor effects. Modern pharmacological research has shown that E. sagittatum has definite pharmacological effects on the reproductive system，respiratory system，nervous system，cardiovascular system，skeletal system，etc. It has remarkable effects of helping pregnancy，resisting osteoporosis，controlling diabetes，improving immunity，and inhibiting tumor. Under the background of advocating one health and Chinese medicine，E. sagittatum is widely used in health care products，serving as the main raw material of various products. It has great market potential and is a Chinese medicinal herb with great clinical application and research value. This paper reviews the main chemical constituents and pharmacological effects of E. sagittatum based on domestic and foreign reports， providing a theoretical basis for further study on E. sagittatum and its safe clinical application.

Epimedium sagittatum is a perennial herb of Berberidaceae. Its leaves have a long history of medicinal use in China. This plant is widely used as a Chinese traditional medicine，with the main functions of tonifying kidney Yang，strengthening bones and muscles，and dispelling wind and dampness. It can be used for treating kidney Yang deficiency，impotence，spermatorrhea，flaccidity of bones and muscles，rheumatic arthralgia，numbness，and spasms. The chemical constituents of this plant include flavonoids，polysaccharides，lignans，and alkaloids. Flavonoids are the main active ingredients. These compounds show a wide range of biological activities，including cartilage repair，anti-aging，anti-fatigue，cough-relieving，blood glucose-lowering，and anti-tumor effects. Modern pharmacological research has shown that E. sagittatum has definite pharmacological effects on the reproductive system，respiratory system，nervous system，cardiovascular system，skeletal system，etc. It has remarkable effects of helping pregnancy，resisting osteoporosis，controlling diabetes，improving immunity，and inhibiting tumor. Under the background of advocating one health and Chinese medicine，E. sagittatum is widely used in health care products，serving as the main raw material of various products. It has great market potential and is a Chinese medicinal herb with great clinical application and research value. This paper reviews the main chemical constituents and pharmacological effects of E. sagittatum based on domestic and foreign reports， providing a theoretical basis for further study on E. sagittatum and its safe clinical application.

Objective: To review the current development of artificial intelligence (AI) technology in the field of transfusion medicine. Methods: A systematic search was conducted in the Clarivate Web of Science Database from inception to December 2024 for literature related to AI and transfusion. A total of 4 775 publications were identified. Based on inclusion and exclusion criteria, 133 original studies were ultimately included and analyzed using a narrative synthesis approach. Results: Research on AI in transfusion has surged since 2020 (accounting for 77% of all publications), with China ranking second globally in publication volume. Among the included studies, 69.2% focused on predicting individual transfusion needs, followed by inventory management (8.3%), diagnosis and prediction of adverse transfusion reactions (6.0%), factors influencing transfusion outcomes (5.3%), blood group identification (5.3%), blood quality testing (4.5%), and precise blood volume measurement (1.5%). Additionally, 4.5% of the studies were published in journals with an impact factor greater than 10; 19.5% developed software or applications; 31.5% were multi-center studies; 48.1% utilized decision tree methods, while 31.5% employed neural network approaches; and 14.2% conducted external validation of the algorithms. Conclusion: AI demonstrates significant potential in transfusion risk prediction, decision support, and blood management. However, challenges remain, including limited model generalizability, insufficient algorithm interpretability, and barriers to clinical translation. The deep integration of AI with transfusion medicine will accelerate the advent of precision transfusion era, maximizing blood resource utilization, reducing waste, and ensuring transfusion safety.