This article systematically analyzed the historical evolution of the origin， scientific name， producing area， quality evaluation， harvesting and processing， and other aspects of Quisqualis Fructus by consulting the ancient materia medica， medical books， prescription books， local literature and combining with the modern literature and standards， summarized and explored the development rules of its medicinal properties and efficacy along with their underlying causes， in order to provide support for the development and utilization of famous classical formulas containing this herb. According to the textual research， Shijunzi was first recorded as Liuqiuzi in Nanfang Caomuzhuang of the Jin dynasty， and the name of Shijunzi was first used in Kaibao Bencao of the Song dynasty， which has been consistently used throughout subsequent dynasties， and there were also aliases such as Junziren， Sijunzi， and Dujilizi. The mainstream source of Quisqualis Fructus used in the past dynasties has been the dried mature fruits of Quisqualis indica， a plant belonging to the family Combretaceae. In modern times， its variety Q. indica var. villosa has also been recorded as the medicinal material of Quisqualis Fructus. In 2007， the Flora of China（English edition） designated Q. indica var. villosa as a synonym of Q. indica. Today， the accepted name of Shijunzi is updated to Combretum indicum. According to ancient herbal records， the producing areas of Quisqualis Fructus were Guangdong， Hong Kong， Macao， Guangxi， Hainan， Sichuan and Fujian， and then gradually expanded to Yunnan， Taiwan， Jiangxi and Guizhou. Since the Song dynasty， two major production regions have gradually emerged in Sichuan， Chongqing and Fujian. Currently， it is primarily cultivated in Chongqing， Guangxi and other areas， with Chongqing yielding the highest output. Since modern times， superior quality has been defined by large size， a purple-black surface， plump grains， and a yellowish-white kernel. According to ancient herbal records， the harvesting period of Quisqualis Fructus was the July and August of the lunar calendar， mostly used raw after shelling or with the shell intact， it underwent processing methods such as cleaning， slicing， mixing， steaming， roasting， stewing， and frying. Currently， the harvesting period is autumn， followed by sun-drying or low-heat drying， with processing methods including cleaning， stir-frying， and stewing. In ancient and modern literature， the records of the properties， functions and indications of Quisqualis Fructus are basically the same， that is， sweet in taste， warm in nature， predominantly non-toxic， belonging to the spleen and stomach meridians. It possesses effects of insecticide， decontamination and invigorating spleen for ascariasis， enterobiasis， abdominal pain due to worm accumulation and infantile malnutrition.The contraindications for use primarily include avoiding consumption by individuals without parasitic infestations， limiting use for those with spleen-stomach deficiency-cold， refraining from drinking hot tea during medication， and avoiding excessive intake. Based on the textual research， it is suggested that the dried mature fruits of Q. indica should be used as the medicinal material for the development of famous classical formulas containing Quisqualis Fructus. Processing methods may be chosen according to prescription requirements， and the raw products is recommended for medicinal use if not specified.

Multidrug-resistant (MDR) bacterial infections have emerged as a serious challenge of global public health crisis. The overuse and misuse of conventional antibiotics have dramatically accelerated the emergence, evolution and worldwide spread of drug-resistant bacterial strains, necessitating urgent exploration of novel antibacterial strategies. Bacteriophages serve as natural bacterial predators offering distinct advantages including high host specificity, autonomous self-replication capabilities and cost-effective large-scale production. However, wild-type phages present significant clinical limitations due to their narrow host ranges, susceptibility to rapid immune clearance and poor penetration of bacterial biofilms, which severely restrict their therapeutic applications. The convergence of synthetic biology, nanotechnology and advanced gene editing technologies has accelerated the development of engineered bacteriophage platforms, providing programmable, scalable and clinically translatable pathways to overcome these inherent biological constraints. Here, we systematically delineate four fundamental strategies for engineered bacteriophage development. Chemical modification utilizes reactive functional groups such as amino, carboxyl and thiol moieties on capsid proteins through esterification, amidation or click chemistry reactions to achieve precise drug conjugation and surface functionalization. In vivo editing encompasses ultraviolet or chemical mutagenesis for random mutation induction, homologous recombination for targeted genetic alterations, recombineering methodologies including electroporation-mediated bacteriophage recombination engineering, and CRISPR-Cas systems for precise genome editing to enable exact genetic reconstruction and host range reprogramming. In vitro synthesis leverages genome engineering platforms where intact phage genomes are transferred into yeast or host bacteria to facilitate highly efficient homologous recombination, enabling large DNA fragment assembly and cross-gene host range expansion without bacterial toxicity constraints. Directed evolution combines artificial selection through mutation library screening with rational design approaches involving chimeric receptor binding protein construction or site-specific mutagenesis, effectively balancing the discovery of unknown adaptive pathways with targeted host specificity modification. Moreover, we comprehensively discuss therapeutic applications across diverse clinical scenarios. Engineered bacteriophage effectively disrupt bacterial biofilms through sophisticated functionalized delivery platforms including nanozyme-conjugated phages, phage-liposome nanoconjugates and bio-responsive hydrogels, demonstrating significantly enhanced bactericidal efficiency compared to unmodified free phages. These bioengineered vectors attenuate bacterial virulence and resensitize pathogens to antibiotics by delivering CRISPR-Cas systems or base editors to disrupt critical virulence factors such as pili, capsule synthesis machineries and quorum sensing systems, or by inactivating antibiotic resistance determinants including beta-lactamase genes. As an intelligent nanomedicine delivery platform, engineered bacteriophage enable precise pathogen elimination an through photocatalytic reactive oxygen species generation, immunomodulatory interventions, or controlled release of antibacterial drugs. Furthermore, oral administration of engineered bacteriophage facilitates microbiota modulation, which selectively eliminate intestinal pathogens while preserve beneficial commensal microbiota, thereby restoring microbial community balance and preventing complications associated with dysbiosis. Finally, we critically analyze persistent challenges including host strain matching complexity, evolution of bacterial resistance mechanisms, pharmacokinetic optimization requirements, optimal administration route selection, large-scale production quality control standards and clinical dosing determination protocols. Through multidisciplinary integration of synthetic biology, infectious disease medicine and immunology, future translational medicine studies of bacteriophage should establish comprehensive technical platforms encompassing rapid phage screening, intelligent rational design, rigorous in vivo evaluation and standardized clinical validation processes, ultimately advancing engineered bacteriophage from laboratory innovations to clinically approved therapeutics for effectively combating MDR bacterial infections.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

Objective To analyze the status of willingness to participate in health science popularization (HSP) and its influencing factors among medical workers in Guangdong Province. Methods A total of 462 medical workers in Guangdong Province were recruited as the study subjects using a stratified convenience sampling method. The Questionnaire on Influencing Factors of Willingness to Participate in Health Science Popularization, developed by the research team, was used to investigate their willingness to participate in HSP and related variables, including previous communication experience, attitude, moral belief, descriptive norm, injunctive norm, self-efficacy, and social support. Hierarchical regression analysis was used to identify the influencing factors of willingness to participate in HSP. Results The median and 25^th and 75^th percentiles score of willingness to participate in HSP was 4.0 (3.8, 4.5), indicating a moderately high level of willingness. The HSP participation willingness score was positively correlated with scores for previous communication experience, attitude, moral belief, descriptive norm, injunctive norm, self-efficacy, and social support (Spearman correlation coefficients were 0.513, 0.384, 0.507, 0.533, 0.463, 0.556, and 0.435, respectively; all P<0.01). Hierarchical regression analysis showed that previous communication experience, moral belief, descriptive norm and self-efficacy positively predicted willingness to participate in HSP (all P<0.05). Medical workers in the non-Pearl River Delta region had lower willingness than those in the Pearl River Delta region for HSP participation (P<0.05). Conclusion There is still room for improving willingness for HSP participation among healthcare professionals in Guangdong Province. It is recommended to enhance self-efficacy through communication skills training, strengthen professional ethics education, foster a positive peer engagement atmosphere, and intensify resource support and capacity building for HSP in the non-Pearl River Delta region, to improve HSP participation willingness among medical workers in Guangdong Province.

ObjectiveTo investigate the effects and potential mechanisms of Babaodan （BBD） against acetaminophen （APAP）-induced acute liver injury （ALI） based on transcriptomics. MethodsA total of 36 male C57BL/6 mice were randomly divided into 6 groups （n=6 per group）： normal group， model group， N-acetylcysteine group （NAC， 120 mg·kg^-1）， and BBD low-， medium-， and high-dose groups （BBD-L， BBD-M， BBD-H groups， 75， 150， 300 mg·kg^-1， respectively）. Except for the normal group， all other groups were subjected to APAP-induced ALI. The serum levels of aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， total cholesterol （TC）， triglyceride （TG）， and low-density lipoprotein cholesterol （LDL-C） were measured in each group. Hepatic levels or activities of malondialdehyde （MDA） and glutathione peroxidase （GSH-Px） were detected using commercial kits. Hematoxylin-eosin （HE） staining was performed to evaluate the degree of liver histopathological damage. Transcriptomic analysis was employed to screen differentially expressed genes （DEGs）， and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed to identify differential pathways involved in BBD intervention against ALI. Real-time quantitative polymerase chain reaction （Real-time PCR） and Western blot were applied to validate the expression of differential genes and related pathway proteins. Additionally， glucose （GLU） consumption， as well as lactate （LD） and adenosine triphosphate （ATP） content were assessed across all mouse groups. ResultsPharmacodynamic evaluation showed that， compared with the normal group， the model group exhibited significantly elevated serum levels of ALT， AST， TC， TG， and LDL-C （P<0.01）， significantly increased MDA level （P<0.01）， and significantly decreased GSH-Px level （P<0.05）. Compared with the model group， BBD intervention at different doses significantly reduced the serum levels of ALT， AST， TC， TG， and LDL-C （P<0.05， P<0.01）， increased GSH-Px level （P<0.05， P<0.01）， significantly decreased MDA level （P<0.01）， and ameliorated hepatic histopathological injury. Liver transcriptomic analysis revealed that， following high-dose BBD intervention， the core genes were mainly enriched in pathways related to inflammatory responses and energy metabolic reprogramming， including the interleukin-17 （IL-17） signaling pathway， the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， fructose and mannose metabolism， and glycolysis. Real-time PCR validation demonstrated that， compared with the normal group， the mRNA expression levels of glycolysis-related genes ［hexokinase 1 （HK1）， hexokinase 2 （HK2）， 6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 3 （PFKFB3）， 6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 4 （PFKFB4）， pyruvate kinase M （PKM）， and lactate dehydrogenase A （LDHA）］， as well as inflammatory cytokines ［tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β）］ were significantly upregulated in the model group （P<0.05， P<0.01）. Compared with the model group， the BBD-H group showed significantly decreased mRNA expression of HK1， HK2， PFKFB3， PFKFB4， PKM， LDHA， TNF-α， IL-6， and IL-1β （P<0.05， P<0.01）. Western blot results indicated that， compared with the normal group， the model group had significantly increased expression of glycolysis-related proteins ［glucose transporter 1 （GLUT1）， HK1， PFKFB3， and PKM］， inflammatory proteins ［interleukin-18 （IL-18）， TNF-α， and IL-1β］， and phosphorylated （p）-PI3K and p-Akt proteins （P<0.05， P<0.01）. Compared with the model group， the BBD-H group exhibited significantly decreased expression of GLUT1， HK1， PFKFB3， PKM， IL-18， TNF-α， IL-1β， p-PI3K， and p-Akt （P<0.05， P<0.01）. Metabolic indicator measurements showed that， compared with the model group， the BBD-H group showed significantly reduced GLU consumption， LD and ATP content （P<0.05， P<0.01）. ConclusionBBD may alleviate APAP-induced ALI through dual regulation of metabolic reprogramming and inflammatory responses， potentially via inhibition of the PI3K/Akt signaling pathway.

ObjectiveTo investigate the effects and potential mechanisms of Babaodan （BBD） against acetaminophen （APAP）-induced acute liver injury （ALI） based on transcriptomics. MethodsA total of 36 male C57BL/6 mice were randomly divided into 6 groups （n=6 per group）： normal group， model group， N-acetylcysteine group （NAC， 120 mg·kg^-1）， and BBD low-， medium-， and high-dose groups （BBD-L， BBD-M， BBD-H groups， 75， 150， 300 mg·kg^-1， respectively）. Except for the normal group， all other groups were subjected to APAP-induced ALI. The serum levels of aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， total cholesterol （TC）， triglyceride （TG）， and low-density lipoprotein cholesterol （LDL-C） were measured in each group. Hepatic levels or activities of malondialdehyde （MDA） and glutathione peroxidase （GSH-Px） were detected using commercial kits. Hematoxylin-eosin （HE） staining was performed to evaluate the degree of liver histopathological damage. Transcriptomic analysis was employed to screen differentially expressed genes （DEGs）， and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed to identify differential pathways involved in BBD intervention against ALI. Real-time quantitative polymerase chain reaction （Real-time PCR） and Western blot were applied to validate the expression of differential genes and related pathway proteins. Additionally， glucose （GLU） consumption， as well as lactate （LD） and adenosine triphosphate （ATP） content were assessed across all mouse groups. ResultsPharmacodynamic evaluation showed that， compared with the normal group， the model group exhibited significantly elevated serum levels of ALT， AST， TC， TG， and LDL-C （P<0.01）， significantly increased MDA level （P<0.01）， and significantly decreased GSH-Px level （P<0.05）. Compared with the model group， BBD intervention at different doses significantly reduced the serum levels of ALT， AST， TC， TG， and LDL-C （P<0.05， P<0.01）， increased GSH-Px level （P<0.05， P<0.01）， significantly decreased MDA level （P<0.01）， and ameliorated hepatic histopathological injury. Liver transcriptomic analysis revealed that， following high-dose BBD intervention， the core genes were mainly enriched in pathways related to inflammatory responses and energy metabolic reprogramming， including the interleukin-17 （IL-17） signaling pathway， the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， fructose and mannose metabolism， and glycolysis. Real-time PCR validation demonstrated that， compared with the normal group， the mRNA expression levels of glycolysis-related genes ［hexokinase 1 （HK1）， hexokinase 2 （HK2）， 6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 3 （PFKFB3）， 6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 4 （PFKFB4）， pyruvate kinase M （PKM）， and lactate dehydrogenase A （LDHA）］， as well as inflammatory cytokines ［tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β）］ were significantly upregulated in the model group （P<0.05， P<0.01）. Compared with the model group， the BBD-H group showed significantly decreased mRNA expression of HK1， HK2， PFKFB3， PFKFB4， PKM， LDHA， TNF-α， IL-6， and IL-1β （P<0.05， P<0.01）. Western blot results indicated that， compared with the normal group， the model group had significantly increased expression of glycolysis-related proteins ［glucose transporter 1 （GLUT1）， HK1， PFKFB3， and PKM］， inflammatory proteins ［interleukin-18 （IL-18）， TNF-α， and IL-1β］， and phosphorylated （p）-PI3K and p-Akt proteins （P<0.05， P<0.01）. Compared with the model group， the BBD-H group exhibited significantly decreased expression of GLUT1， HK1， PFKFB3， PKM， IL-18， TNF-α， IL-1β， p-PI3K， and p-Akt （P<0.05， P<0.01）. Metabolic indicator measurements showed that， compared with the model group， the BBD-H group showed significantly reduced GLU consumption， LD and ATP content （P<0.05， P<0.01）. ConclusionBBD may alleviate APAP-induced ALI through dual regulation of metabolic reprogramming and inflammatory responses， potentially via inhibition of the PI3K/Akt signaling pathway.

The auxin/indole-3-acetic acid (Aux/IAA) gene family is an important regulator for plant growth hormone signaling, involved in plant growth, development, as well as response to environmental stresses. In the present study, we identified SmIAA7 which is potentially associated with Salvia miltiorrhiza leaf development through comparatively analyzed the transcriptome data from different pinnate leaves. SmIAA7 was successfully isolated from S. miltiorrhiza using the specific primers. Then subsequent bioinformatic analysis, prokaryotic expression and purification, subcellular localization, and induction expression analysis under auxin and abiotic stress were performed. The full-length of SmIAA7 contained an ORF of 684 bp encoding a protein of 227 amino acid with a molecular weight of 25.3 kD. Conserved domain analysis showed that SmIAA7 contains the conserved Aux_IAA domain (pfam02309). Sequence analysis and phylogenetic tree analysis results indicated SmIAA7 was phylogenetically close to IAA7 and IAA14 from other plants, suggesting SmIAA7 involved in plant growth and development as well as response to environmental stresses. The prokaryotic expression vector pET28a-SmIAA7 was constructed and SmIAA7 recombinant protein was successfully expressed in E. coli Rosetta (DE3) strain. Subcellular localization experiment demonstrated that SmIAA7 localized in the nucleus of plant cells. Real-time fluorescence quantitative PCR results showed that the expression level of SmIAA7 was upregulated in response to auxin. Drought, low temperature, and salt stress significantly increased the transcript level of SmIAA7 gene. This study lays a foundation for further elucidating the role of SmIAA7 in leaf development, signal transduction, and stress defense in S. miltiorrhiza.

Objective:To analyze the epidemiological characteristics and influencing factors of single-cigarette use and dual cigarette-cigar use in China.Methods:This study was a cross-sectional study that selected 85 638 urban and rural residents who met the inclusion criteria from the 2018 China Health Literacy Survey as research subjects. An analysis was conducted on 21 849 users of cigarettes and cigars among them. Due to the small number of individuals who exclusively used cigars (247 cases), the research subjects were divided into two categories: exclusive cigarette users and dual users of cigarettes and cigars. The groups were categorized by age (18-34 years, 35-54 years, ≥55 years), gender (male, female), education level (primary school and below, junior high school and high school, university and above) and annual household income (<20 000 yuan, 20 000-<80 000 yuan, ≥80 000 yuan) to compare the tobacco usage rate and conduct subgroup analyses for each subgroup. Multivariate logistic regression analysis was employed, incorporating general demographic characteristic information to explore the influencing factors of exclusive cigarette use and dual use of cigarettes and cigars, respectively.Results:The rate of exclusive cigarette use in our country was 24.3%, while the dual use rate of cigarettes and cigars was 0.9%. The exclusive cigarette use rate and the dual use rate of cigarettes and cigars among males were significantly higher than those among females (48.25% vs 2.48%, and 1.84% vs 0.06%) (both P<0.001). For males, the high-risk factors for exclusive cigarette use included living in urban areas ( OR: 1.37, 95% CI: 1.23-1.54), being Han ethnicity ( OR: 1.73, 95% CI: 1.51-1.98), and having an annual household income ≥20 000 yuan ( OR: 1.54, 95% CI: 1.38-1.82) while having a junior high school education or higher was a protective factor ( OR: 0.68, 95% CI: 0.52-0.90). Age≥35 years ( OR: 3.36, 95% CI: 2.62-4.32) and having a junior high school education or higher ( OR: 1.30, 95% CI: 1.02-1.67) were risk factors for dual use of cigarettes and cigars in males. Among females, living in urban areas ( OR: 1.53, 95% CI: 1.19-1.97) and being Han ethnicity ( OR: 5.96, 95% CI: 4.47-7.96) were risk factors for exclusive cigarette use, while having a university education or higher was a protective factor ( OR: 0.28, 95% CI: 0.18-0.42). However, for female dual use of cigarettes and cigars, no significant effects were observed for any demographic characteristics. Conclusions:The use rate of cigarettes alone in China is significantly higher than that of cigarette-cigar dual use, and the rates of cigarette use alone and cigarette-cigar dual use in men are significantly higher than those in women. Tobacco use is being affected by sociodemographic factors, among which place of residence, ethnicity and education level are the main influencing factors of cigarette use alone, and gender, age and education level are the main influencing factors of cigarette-cigar dual use.

Objective:To summarize the clinical characteristics and key points of diagnosis and treatment in children with TCF3::HLF fusion gene-positive acute lymphoblastic leukemia (ALL).Methods:A case series study was conducted. Clinical data of 8 children diagnosed with TCF3::HLF positive ALL at the Hematology Center of Beijing Children′s Hospital, Capital Medical University and the Hematology Oncology Department of Henan Children′s Hospital between January 2019 and January 2024 were collected. Descriptive analysis was performed on their clinical features, laboratory findings, treatment regimens and prognosis.Results:The cohort included 8 children (3 males and 5 females) with the age of 5.5 (3.5, 7.0) years. Bone pain was the primary clinical manifestation in 4 cases, with multi-site skeletal involvement in 4 cases, hypercalcemia in 5 cases, and coagulation abnormalities in 6 cases. Immunophenotyping revealed common B-cell lineage with myeloid markers in 7 cases and common B-cell phenotype in 1 case. All 8 children were positive for the TCF3::HLF fusion gene. Regarding treatment, 1 case abandoned therapy after diagnosis, while the remaining 7 cases received chemotherapy following the Chinese Children′s Leukemia Group-ALL2018 high-risk protocol. Only 1 case achieved minimal residual disease (MRD) negativity by day 33 of induction therapy. Among the 3 cases with MRD negativity before consolidation therapy, 1 case achieved it via conventional chemotherapy, while 2 cases required additional agents (venetoclax or blinatumomab). One case failed to achieve MRD negativity after consolidation therapy and later discontinued treatment (survival periods: 7months).Of the 4 cases who achieved MRD negativity after consolidation, 2 cases received conventional chemotherapy and 2 cases achieved negativity following chimeric antigen receptor T-cell therapy (CART). All 4 cases underwent hematopoietic stem cell transplantation (HSCT). Two cases in the CART combined with HSCT group survived as of the last follow-up (survival periods: 22 and 13 months). In the conventional chemotherapy combined HSCT group, 1 case relapsed and died (survival: 38 months), and 1 case died from transplant complications (survival: 11 months). The other 2 cases achieved MRD negativity before consolidation therapy but did not receive regular subsequent chemotherapy. After MRD recurrence, they underwent CART therapy without HSCT and remained alive at the last follow-up (survival periods: 49 and 12 months).Conclusions:Children with TCF3::HLF positive ALL often present with bone destruction accompanied by hypercalcemia and coagulopathy at initial diagnosis. This subtype of ALL shows poor response to conventional chemotherapy regimens, characterized by low early remission rates and high relapse risk even after HSCT. Better therapeutic outcomes have been observed with small molecule targeted drugs, immunotherapy and CART therapy.