Objective To map the genome-wide distribution profile of histone H3K27me3 modification in diffuse gastric cancer tissues,identify target genes regulated by H3K27me3,and primarily explore the potential mechanism of its modification reprogramming in the occurrence and development of the tumor.Methods Normal gastric mucosal tissues and diffuse gastric cancer tissues were harvested from the patients who underwent examinations or treatments in the departments of gastroenterology and gastrointestinal surgery of our medical center between 2021 and 2023.There were 14 patients in the normal group(6 males and 8 females,average age of 46 years)and 14 patients in the gastric cancer group(8 males and 6 females,average age of 63 years).Cleavage under target and tagmentation(CUT&Tag)technology was employed to capture genomic regions modified by H3K27me3,and analyze the reprogramming characteristics of these modifications.RNA sequencing data,data from high-throughput chromosome conformation capture(Hi-C)technology,and publicly available single-cell data were integrated to investigate the target genes regulated by the reprogramming of H3K27me3 modifications in diffuse gastric cancer cells.Results The quality of the CUT&Tag and RNA sequencing data met the standards required for subsequent analysis.Histone H3K27me3 modifications in normal gastric mucosa and diffuse gastric cancer tissues were primarily distributed in distal intergenic regions and intronic regions.In gastric cancer tissues,compared to normal tissues,there was significant reprogramming of H3K27me3 modifications,characterized by a marked reduction in overall H3K27me3 signal intensity.The loss of 2 912 H3K27me3 signal peaks might lead to the up-regulation of 822 tumor-associated genes.Among them,56 genes displayed the most significant up-regulation(fold change in signal intensity≥2,P<0.05),with notable enrichment in the mammalian target of rapamycin complex 1(mTORC1)signaling pathway.Specifically,the methionine transporter SLC7A5 and the cystine transporter SLC7A11 were found to have the highest expression levels in gastric cancer tissues.Single-cell data revealed that the abnormal overexpression of SLC7A11 in diffuse gastric cancer was primarily observed in tumor epithelial cells.Further validation using public data and immunohistochemical experiments confirmed the elevated expression of SLC7A11 in diffuse gastric cancer,which is associated with poor prognosis in gastric cancer patients.Conclusion The reprogramming of histone H3K27me3 modification is an important epigenetic characteristic in diffuse gastric cancer.Loss of H3K27me3 signal peaks may up-regulate the expression of SLC7A11 in diffuse gastric cancer cells,and thereby promote tumor progression.

Objective To investigate the diagnostic value of endoscopic sign of light blue crest(LBC)capsuling papillary lesion(LCPL)for high-risk intestinal metaplasia(IM).Methods A total of 314 patients(352 biopsy specimens)who underwent endoscopic examination and biopsy in Department of Gastroenterology of Army Medical Center of PLA from January 2021 to June 2023 were recruited,and HE and HID-AB staining(the golden standard of high-risk IM)were apllied to detect the histological types and IM types.The samples were subsequently divided into chronic inflammation group,low-risk IM group,high-risk IM group,well-differentiated intestinal-type gastric cancer group,and poorly-differentiated intestinal-type gastric cancer group.The positive rate of LCPL in each group and its diagnostic efficacy were analyzed based on endoscopic images of the biopsy sites.Logistic regression analysis was used to investigate the relationship between LCPL sign and high-risk IM,as well as the clinical and pathological features associated with LCPL sign.Receiver operating characteristic(ROC)curve was plotted to evaluate the diagnostic efficacy of LCPL for high-risk IM,using indicators such as sensitivity,specificity,Youden index and area under the curve(AUC).Results The positive rate of the LCPL sign in high-risk IM group was 75.70%,significantly higher than that of the other groups(all P<0.001).Logistic regression analysis showed that LCPL sign was significantly correlated with high-risk IM(OR=30.286,95%CI:13.528～67.804,P<0.001).When the sign was employed in diagnosing high-risk IM,the sensitivity was 69.84%,the specificity was 93.75%,the Youden's index was 0.636,and the AUC value was 0.818(95%CI:0.773～0.857).Besides sensitivity,all above parameters of LCPL sign showed significantly better diagnostic efficacy than those of traditional LBC sign,which is used as a sign for diagnosing IM(P<0.001).Moreover,recognition of LCPL sign was not easily affected by age(OR=1.130,95%CI:0.709～1.800,P=0.607),lesion site(Angular incisure:OR=2.360,95%CI:0.732～7.613,P=0.151;Autrum:OR=2.257,95%CI:0.756～6.744,P=0.145),and presence of peptic ulcers(OR=1.085,95%CI:0.208～5.652,P=0.923).Significantly,94.12%of positive and 66.94%of negative LCPL signs could be rapidly recognized within 3 s(OR=4.536,95%CI:1.372～14.997,P=0.013).Conclusion LCPL sign shows high efficacy and potential clinical application value for high-risk IM in gastric mucosa of endoscopic diagnosis.

ObjectiveExploring the formula rules of commonly used traditional Chinese medicines（TCMs） for epidemic treatment from the Qin and Han dynasties to the Qing dynasty through data mining， providing reference for the prevention and control of contemporary epidemics. MethodsThe articles on epidemic treatment in the electronic database of Chinese Medical Code V5.0 were systematically searched， and the contents such as source， dynasty， author， diagnosis， formula name， therapeutic method and efficacy， and composition of medicines from each article that met the inclusion criteria were extracted. Then， an Excel standardized database was established， and Python programs were used for data mining to summarize the frequency of commonly used medicines and perform hierarchical cluster analysis， Pearson correlation analysis， and association rule analysis. ResultsA total of 1 595 formulas were included， involving 558 TCMs. The efficacy of these medicines could be classified into two categories， namely， expeling pathogenic factors and reinforcing healthy Qi. According to the frequency deconstruction analysis， high-frequency medicines were mainly detoxification， Fu-organ dredging， aromatization and promoting blood circulation， followed by the medicines with the effect of treating the lungs， such as clearing the lungs and resolving phlegm， clearing heat and purging the lungs， relieving cough and asthma， and purging the lungs and relieving asthma. And the proportions of acrid-warm herbs and acrid-cold herbs varied in different periods. Hierarchical clustering and correlation analysis both suggested TCMs for expeling pathogenic factors and reinforcing healthy Qi often formed stable combinations with high association degrees. Association rule analysis showed that the core acrid-warm herb was mainly Ephedrae Herba， and the core acrid-cold herb was mainly Forsythiae Fructus， resulting in the core formulas of Maxing Shigantang and Yinqiaosan. ConclusionThroughout history， the prevention and control of epidemics have been based on the principle of "preserving healthy Qi and avoiding toxic Qi"， focusing on the treatment of the causes and characteristics of epidemics through detoxification， Fu-organ dredging， and aromatization， emphasizing the use of Rhei Radix et Rhizoma and other herbs to dredge Fu-organ， eliminate toxins and pathogens， and playing the role of actively intervene with symptomatic medication. And based on the external manifestations of the body's struggle between evil and righteousness， diagnose and treatment according to syndrome differentiation was performed.

ObjectiveExploring the formula rules of commonly used traditional Chinese medicines（TCMs） for epidemic treatment from the Qin and Han dynasties to the Qing dynasty through data mining， providing reference for the prevention and control of contemporary epidemics. MethodsThe articles on epidemic treatment in the electronic database of Chinese Medical Code V5.0 were systematically searched， and the contents such as source， dynasty， author， diagnosis， formula name， therapeutic method and efficacy， and composition of medicines from each article that met the inclusion criteria were extracted. Then， an Excel standardized database was established， and Python programs were used for data mining to summarize the frequency of commonly used medicines and perform hierarchical cluster analysis， Pearson correlation analysis， and association rule analysis. ResultsA total of 1 595 formulas were included， involving 558 TCMs. The efficacy of these medicines could be classified into two categories， namely， expeling pathogenic factors and reinforcing healthy Qi. According to the frequency deconstruction analysis， high-frequency medicines were mainly detoxification， Fu-organ dredging， aromatization and promoting blood circulation， followed by the medicines with the effect of treating the lungs， such as clearing the lungs and resolving phlegm， clearing heat and purging the lungs， relieving cough and asthma， and purging the lungs and relieving asthma. And the proportions of acrid-warm herbs and acrid-cold herbs varied in different periods. Hierarchical clustering and correlation analysis both suggested TCMs for expeling pathogenic factors and reinforcing healthy Qi often formed stable combinations with high association degrees. Association rule analysis showed that the core acrid-warm herb was mainly Ephedrae Herba， and the core acrid-cold herb was mainly Forsythiae Fructus， resulting in the core formulas of Maxing Shigantang and Yinqiaosan. ConclusionThroughout history， the prevention and control of epidemics have been based on the principle of "preserving healthy Qi and avoiding toxic Qi"， focusing on the treatment of the causes and characteristics of epidemics through detoxification， Fu-organ dredging， and aromatization， emphasizing the use of Rhei Radix et Rhizoma and other herbs to dredge Fu-organ， eliminate toxins and pathogens， and playing the role of actively intervene with symptomatic medication. And based on the external manifestations of the body's struggle between evil and righteousness， diagnose and treatment according to syndrome differentiation was performed.

Functional dyspepsia (FD), characterized by persistent or recurrent dyspeptic symptoms without identifiable organic, systemic or metabolic causes, is an increasingly recognized global health issue. The objective of this guideline is to equip clinicians and nursing professionals with evidence-based strategies for the management and treatment of adult patients with FD using traditional Chinese medicine (TCM). The Guideline Development Group consulted existing TCM consensus documents on FD and convened a panel of 35 clinicians to generate initial clinical queries. To address these queries, a systematic literature search was conducted across PubMed, EMBASE, the Cochrane Library, China National Knowledge Infrastructure (CNKI), VIP Database, China Biology Medicine (SinoMed) Database, Wanfang Database, Traditional Medicine Research Data Expanded (TMRDE), and the Traditional Chinese Medical Literature Analysis and Retrieval System (TCMLARS). The evidence from the literature was critically appraised using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. The strength of the recommendations was ascertained through a consensus-building process involving TCM and allopathic medicine experts, methodologists, pharmacologists, nursing specialists, and health economists, leveraging their collective expertise and empirical knowledge. The guideline comprises a total of 43 evidence-informed recommendations that span a range of clinical aspects, including the pathogenesis according to TCM, diagnostic approaches, therapeutic interventions, efficacy assessments, and prognostic considerations. Please cite this article as: Zhang SS, Zhao LQ, Hou XH, Bian ZX, Zheng JH, Tian HH, Yang GH, Hong WS, He YY, Liu L, Shen H, Li YP, Xie S, Shu J, Zeng BF, Li JX, Liu Z, Xiao ZH, Xiao JD, Zheng PY, Huang SG, Chen SL, Fei GJ. International clinical practice guideline on the use of traditional Chinese medicine for functional dyspepsia (2025). J Integr Med. 2025; 23(5):502-518.
Dyspepsia/drug therapy* ; Humans ; Medicine, Chinese Traditional/methods* ; Practice Guidelines as Topic ; Drugs, Chinese Herbal/therapeutic use*

BACKGROUND: Biomarkers-based prediction of long-term risk of acute coronary syndrome (ACS) is scarce. We aim to develop a risk score integrating clinical routine information (C) and plasma biomarkers (B) for predicting long-term risk of ACS patients. METHODS: We included 2729 ACS patients from the OCEA (Observation of cardiovascular events in ACS patients). The earlier admitted 1910 patients were enrolled as development cohort; and the subsequently admitted 819 subjects were treated as validation cohort. We investigated 10-year risk of cardiovascular (CV) death, myocardial infarction (MI) and all cause death in these patients. Potential variables contributing to risk of clinical events were assessed using Cox regression models and a score was derived using main part of these variables. RESULTS: During 16,110 person-years of follow-up, there were 238 CV death/MI in the development cohort. The 7 most important predictors including in the final model were NT-proBNP, D-dimer, GDF-15, peripheral artery disease (PAD), Fibrinogen, ST-segment elevated MI (STEMI), left ventricular ejection fraction (LVEF), termed as CB-ACS score. C-index of the score for predication of cardiovascular events was 0.79 (95% CI: 0.76-0.82) in development cohort and 0.77 (95% CI: 0.76-0.78) in the validation cohort (5832 person-years of follow-up), which outperformed GRACE 2.0 and ABC-ACS risk score. The CB-ACS score was also well calibrated in development and validation cohort (Greenwood-Nam-D'Agostino: P = 0.70 and P = 0.07, respectively). CONCLUSIONS CB-ACS risk score provides a useful tool for long-term prediction of CV events in patients with ACS. This model outperforms GRACE 2.0 and ABC-ACS ischemic risk score.

Objective:To summarize the clinical characteristics and management experience of complications in patients with cervical necrotizing fasciitis （CNF） with or without descending necrotizing mediastinitis （DNM）, in order to provide a basis for optimizing diagnosis and treatment strategies. Methods:A retrospective analysis was conducted on the clinical data of 31 patients diagnosed with CNF and DNM at Shandong Provincial Hospital Affiliated to Shandong First Medical University between October 2019 and March 2024. A comprehensive evaluation was performed based on the patients' clinical characteristics, metagenomic next-generation sequencing （mNGS） pathogen detection results, imaging assessments, surgical interventions, management approaches for specific complications, and prognostic outcomes. Results:Among the 31 patients, 10 had severe diabetes mellitus. Etiological analysis was summarized as follows: 5 cases were odontogenic, 3 were of tonsillar origin, 3 were due to endogenous esophageal injury, 2 were due to exogenous cervical trauma, 2 originated from a congenital branchial cleft fistula, and 16 cases had an unknown etiology. Among them, 29 patients underwent surgery via an external cervical approach, 1 patient underwent surgery via an intraoral approach, and 1 patient received ultrasound-guided puncture and drainage therapy. Ultimately, 29 patients were cured and discharged （including 1 patient who experienced two instances of major neck vessel rupture and successfully underwent two interventional embolization procedures for hemostasis）; 2 patients died after failed rescue efforts due to concurrent sepsis and multiple organ dysfunction. The treatment success rate was 93%, and the mortality rate was 7%. In this cohort of CNF and DNM cases, only a minority had a clearly identified odontogenic cause; although the etiology was unknown in most cases, imaging consistently showed oropharyngeal lymph node necrosis, suggesting a possible pharyngeal origin of infection in adults. The mNGS pathogen profile was predominantly Gram-positive bacteria, accompanied by anaerobic bacilli and fungi. Conclusion:CNF and DNM are severe and rapidly progressive conditions that can lead to life-threatening complications within hours. Timely recognition can reduce unnecessary examinations and expedite treatment.
Humans ; Retrospective Studies ; Fasciitis, Necrotizing/therapy* ; Mediastinitis/complications* ; Neck/pathology* ; Male ; Female ; Middle Aged ; Adult ; Aged ; Prognosis

Objective To analyze the global research literature on monkeypox from 2014 to 2024 through bibliometric analysis,and provide reference for monkeypox research in China.Methods Based on data from the Web of Science Core Collection database and utilizing the visualization analysis capabilities of VOSviewer software,we employed keyword co-occurrence analysis and national cooperative network analysis methods and examined the trends in monkeypox research publications,popular journals,high-yield institutions,international collaborations,and keywords.Results A total of 2 396 papers were published from 2014 to 2024,with a significant increase in publications after 2022.The United States had the highest number of publications(808 papers,accounting for 33.72%).The network of international scientific collaborations showed close cooperation between the United States and countries like the United Kingdom and Canada,frequent collaborations among developing countries such as China and India,and extensive cooperation among European countries like Italy and Spain,which also established partnerships with Brazil,Mexico,and others.Keywords co-occurrence clustering and essential science indicators(ESI)highly cited papers revealed that the monkeypox research hotspots after 2022 including the analysis of the virology,clinical,epidemiological characteristics of the global outbreak in 2022,uncovering the causes of the global outbreak and the differences from previous outbreaks.Studies on vaccines and antiviral drugs also gradually became focal points.Conclusion Since the outbreak of monkeypox in 2022,monkeypox research has developed rapidly.Papers focus on specific populations,and gradually shifting from virological,clinical and epidemiological characterization to the development of new drugs,vaccines,and clinical validation studies.

Objective To analyze the current status of malaria vaccine research from 2019 to 2024 by using bibliometric methods.Methods Based on the Web of Science core collection database,we used VOSviewer to conduct a visual analysis of the publishing trends,publishing journals,international cooperation status,institutions and research hotspots of malaria vaccine research.Results A total of 2 467 relevant articles were retrieved,and the annual number of publications showed a stable trend.The number of articles published by different countries/regions varied greatly,and the top effect was obvious.The United States published the most papers(1 032 articles,41.83%).The international cooperation network reflected the regional collaborative relationships in malaria vaccine research,predominantly involving the United States,the United Kingdom,Australia,India and China.Through keyword co-occurrence clustering,the current research hotspots in the field of malaria vaccines were basic research on key sites and mechanisms of potential vaccines,clinical research on new vaccines,epidemiological studies on the impact of malaria vaccines on malaria transmission,etc.Conclusion In recent years,malaria vaccine research has received sustained attention.The translation of clinical research on malaria vaccine was currently accelerating,and children and women were still the key groups of concern.

Aim To infer novel therapeutic and phar-macological targets related to lung cancer treatment through multiomics approaches,so as to provide new directions for developing more personalized and effec-tive treatment strategies.Methods Genome-wide as-sociation study(GWAS)data analysis,pan-cancer,single-cell,transcriptomics,and protein-protein interac-tion analysis were employed in this study.Results We analyzed biomarkers and therapeutic targets associ-ated with lung cancer.The study identified key bio-markers closely related to lung cancer progression and explored the interrelationships between these biomark-ers and viral infections.According to KEGG pathway annotation,the number of genes related to metabolic processes increased significantly.In particular,metab-olites such as alanine and isoleucine emerged as pivotal factors in therapeutic interventions.The IgD+CD24+and IgD+CD24-B cell subsets were identified as cen-tral elements in immune evasion and treatment re-sponse.Concurrently,the Lachnospiraceae and Prevo-tella were shown to modulate host immune responses and the tumor microenvironment by regulating short-chain fatty acid levels,thereby opening novel avenues for cancer research.Conclusions Through mul-tiomics analysis combined with transcriptomics and pro-teomics analysis,we identify several potential therapeu-tic targets for lung cancer,providing key insights for developing novel treatment strategies.