Objective:The differentially expressed genes(DEGs)and activated signaling pathways in systemic sclerosis(SSc)were screened by bioinformatics methods,and Chinese medicines for potential treatment of SSc were explored,providing a new theoretical basis for the study of SSc and the screening of potential markers.Methods:The data sets GSE58095,GSE130953,GSE33463 and GSE58613 were selected from GEO database and divided into skin group and peripheral blood group according to the sample source.The DEGs of SSc patients was analyzed by R language,and the Wayne diagram was drawn to take the intersection of the two groups.Metascape was used for GO enrichment analysis and KEGG pathway enrichment analysis,and STRING and Cytoscape were used for protein interaction network analysis to find key pathways and hub genes.The core genes were mapped to the medical on-tology information retrieval platform,and related Chinese medicines for SSc treatment were screened.The effective components of Chi-nese medicines were obtained through TCMSP and HERB databases,and the target letters of active ingredients were obtained through swiss database.The"drug-active ingredient-target"network was constructed by Cytoscape.Results:Total 218 DEGs were identified from the skin group of patients with SSc,and 283 DEGs were screened from peripheral blood of patients with SSc.Among them,there were 7 DEGs co-upregulated in skin and peripheral blood,namely ISG15,LGALS3BP,BST2,C1QB,IFI27,CEACAM1 and FBP1.CAMK2N1 was up-regulated in skin but down-regulated in peripheral blood,ARG1 was down-regulated in skin but up-regulated in pe-ripheral blood.GO and KEGG analysis of SSc DEGs showed that these genes were significantly enriched in inflammatory response,he-moglobin complex,immune receptor activity and extracellular matrix.The results of protein interaction network suggest that more than 10 genes such as COL1A1,CTGF12,IL1B,IFNG and JUN may be potential markers of SSc and core genes of therapeutic targets.The potential Chinese medicines screened for SSc treatment include ginseng,sanguisorba,convolvula,wolfberry,safflower,etc.The main components of these herbs were β-sitosterol,quercetin,kaempferol,stigmasterol,luteolin,sitosterol,Spinasterol,and the target were AKR1B1,AR,CYP1B1,XDH,etc.Conclusion:This study uses bioinformatics to screen out core genes that may be potential markers and therapeutic targets for SSc,which is expected to be a new target for the early diagnosis and mechanism research of SSc.Meanwhile,the mapped Chinese medicine and its effective components can provide ideas for the research and development of Chinese medicine compounds for the treatment of SSc.

Objective:To investigate the molecular mechanisms of bexarotene in treating double hit lymphoma(DHL)based on Weighted Gene Co-expression Network Analysis(WGCNA),thereby providing potential targets and experimental evidence for DHL treatment.Methods:The gene expression datasets GSE44164 and GSE43677 were downloaded from the Gene Expression Omnibus(GEO)database,and differentially expressed genes(DEGs)were identified.WGCNA was employed to identify gene modules associated with DHL.A protein-protein interaction(PPI)network was constructed to screen for key hub genes.Drug-gene association analysis was conducted using the EpiMed platform to identify potential targeted drugs for DHL.The effects of bexarotene on DHL cell proliferation and key protein expression were evaluated using the CCK-8 assay and Western blotting(WB),and its effects on cell apoptosis was evaluated using flow cytometry.Results:WGCNA identified a turquoise module highly associated with DHL,and 10 hub genes(COL1A2,COL3A1,MMP2,COL5A2,DCN,BGN,FN1,MMP9,FBN1,and LUM)were screened from the PPI network.Drug association analysis nominated bexarotene as a potential therapeutic agent.In vitro validation demonstrated that bexarotene significantly inhibited U2932 cell viability(P<0.05),promoted cell apoptosis(P<0.001),and downregulated c-Myc and COL1A2 expression(P<0.05).Conclusion:Bexarotene may exert anti-DHL effects by suppressing the c-Myc signaling pathway and modulating extracellular matrix-related genes.Further studies are warranted to validate its in vivo efficacy and potential for combination therapy.

Objective:To investigate the effect of concentrated growth factor (CGF) on the biological performance of human dental pulp stem cells (hDPSCs) under oxidative stress status induced by hydrogen peroxide (H 2O 2). Methods:The hDPSCs were isolated by using tissue block separation method from healthy permanent teeth extracted for orthodontic reason. hDPSCs surface markers CD34, CD45, CD90 and CD105 were detected by flow cytometry. Alkaline phosphatase (ALP), alizarin red S (ARS), oil red O staining and colony formation assay were used to identify hDPSCs. After the cell counting kit-8 (CCK-8) detection, the optimal H 2O 2 concentration was used to construct the hDPSCs oxidative stress model. CGF conditioned medium was prepared by repeated freeze-thaw methods. After CCK-8 detection, the optimum CGF concentration was chosen for the subsequent experiments. The hDPSCs were divided into control group, H 2O 2 (only H 2O 2 processing), H 2O 2+CGF group (H 2O 2 processing in combination with the CGF) and CGF group (only CGF processing). Subsequent experiments were performed according to these groups. The oxidative stress model was verified by reactive oxygen species, β-galactosidase staining and Western blotting. The effects of CGF on the proliferation and migration of hDPSCs under oxidative stress status were detected by CCK-8 and cell scratch assay, respectively. ALP activity and ARS staining were used to detect the effect of CGF on the osteogenic differentiation of hDPSCs under oxidative stress status. The mRNA expression levels of odontogenesis related genes were detected by real-time fluorescence quantitative PCR (RT-qPCR), and the expression levels of odontogenesis and osteogenesis related proteins were detected by Western blotting. Results:Isolated hDPSCs showed positive expression of mesenchymal stem cells surface markers of CD90, CD105, and negative expression of hematopoietic stem cells surface markers CD34, CD45. The hDPSCs were proved to have the capacity of osteogenic, adipogenic differentiation and clone formation. The optimal concentration to construct the oxidative stress model was 200 μmol/L H 2O 2. Twenty percent CGF was the optimal concentration for subsequent experiments. Compared with the control group, the expression of aging protein p53 was significantly up-regulated from (0.82±0.12) to (1.19±0.14) in H 2O 2 group ( P<0.05), with deepened β-galactosidase staining and increased fluorescence intensity of reactive oxygen species. The proliferative capacity of cells in H 2O 2+CGF group on day 1, 3, 5 and 7 (0.23±0.01, 0.50±0.02, 1.60±0.07, 1.80±0.21) were all higher than in H 2O 2 group (0.15±0.01, 0.14±0.02, 0.50±0.03, 0.90±0.09) ( P<0.05). Cell healing capacity of cells in H 2O 2+CGF group at 12 h and 24 h [(47±7)%, (58±44)%] also increased compared with the H 2O 2 group [(36±2)%, (44±2)%] ( P<0.05), and similar results in the activity of ALP and the formation of mineralized nodules. On day 28, the mRNA expressions of dentin sialophosphoprotein (0.52±0.16) and dental matrix protein 1 (DMP-1) (0.39±0.13) in H 2O 2 group were all significantly lower than those in H 2O 2+CGF group (0.96±0.24, 0.83±0.30, respectively) and CGF group (1.12±0.18, 1.23±0.19, respectively) ( P<0.05). On day 28, the expressions of odontogenesis related protein DMP-1 (0.27±0.04) and osteogenesis related protein Runt-related transcription factor-2 (0.42±0.15) in H 2O 2 group were all significantly lower than those in H 2O 2+CGF group (0.66±0.18, 0.68±0.04) and CGF group (1.15±0.13, 1.06±0.19, respectively) ( P<0.05). Conclusions:H 2O 2 can induce oxidative stress in hDPSCs, while CGF can promote proliferation, migration, odontogenic and osteogenic differentiation of hDPSCs under oxidative stress status.

BACKGROUND:Osteosarcoma has a complex pathogenesis and a poor prognosis.While advancements in medical technology have led to some improvements in the 5-year survival rate,substantial progress in its treatment has not yet been achieved. OBJECTIVE:To screen key molecular markers in osteosarcoma,analyze their relationship with osteosarcoma treatment drugs,and explore the potential disease mechanisms of osteosarcoma at the molecular level. METHODS:GSE99671 and GSE284259(miRNA)datasets were obtained from the Gene Expression Omnibus database.Differential gene expression analysis and Weighted Gene Co-expression Network Analysis(WGCNA)on GSE99671 were performed.Functional enrichment analysis was conducted using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes separately for the differentially expressed genes and the module genes with the highest positive correlation to the disease.The intersection of these module genes and differentially expressed genes was taken as key genes.A Protein-Protein Interaction network was constructed,and correlation analysis on the key genes was performed using CytoScape software,and hub genes were identified.Hub genes were externally validated using the GSE28425 dataset and text validation was conducted.The drug sensitivity of hub genes was analyzed using the CellMiner database,with a threshold of absolute value of correlation coefficient|R|>0.3 and P<0.05. RESULTS AND CONCLUSION:(1)Differential gene expression analysis identified 529 differentially expressed genes,comprising 177 upregulated and 352 downregulated genes.WGCNA analysis yielded a total of 592 genes with the highest correlation to osteosarcoma.(2)Gene Ontology enrichment results indicated that the development of osteosarcoma may be associated with extracellular matrix,bone cell differentiation and development,human immune regulation,and collagen synthesis and degradation.Kyoto Encyclopedia of Genes and Genomes enrichment results showed the involvement of pathways such as PI3K-Akt signaling pathway,focal adhesion signaling pathway,and immune response in the onset of osteosarcoma.(3)The intersection analysis revealed a total of 59 key genes.Through Protein-Protein Interaction network analysis,8 hub genes were selected,which were LUM,PLOD1,PLOD2,MMP14,COL11A1,THBS2,LEPRE1,and TGFB1,all of which were upregulated.(4)External validation revealed significantly downregulated miRNAs that regulate the hub genes,with hsa-miR-144-3p and hsa-miR-150-5p showing the most significant downregulation.Text validation results demonstrated that the expression of hub genes was consistent with previous research.(5)Drug sensitivity analysis indicated a negative correlation between the activity of methotrexate,6-mercaptopurine,and pazopanib with the mRNA expression of PLOD1,PLOD2,and MMP14.Moreover,zoledronic acid and lapatinib showed a positive correlation with the mRNA expression of PLOD1,LUM,MMP14,PLOD2,and TGFB1.This suggests that zoledronic acid and lapatinib may be potential therapeutic drugs for osteosarcoma,but further validation is required through additional basic experiments and clinical studies.

Objective To put forward relevant national legislative proposals for preventing workplace violence (WPV) in the healthcare industry by comparing the current legal practices of China and the United States. Methods The Workplace Violence Prevention for Health Care and Social Service Workers Act (hereinafter referred to as the "Act") of the United States was translated and analyzed. The relevant normative legal documents in China were systematically reviewed to compare the legislative differences in the prevention and control of WPV against health care workers. Results The Act aims to establish an employer-driven legal framework for WPV prevention and control. China has no specific legislation for WPV, but has established partial legislation for protecting healthcare workers from external violence through various legal practices. The "Act" regards WPV as an occupational hazard and adopts the priority control order to carry out the prevention and control of WPV. In contrast, China's legislation for WPV approach emphasizes public security and undermines occupational health, treating WPV merely as a work-related injury or accident with limited protection. This gap reveals divergent priorities for legal interests. Conclusion China should integrate WPV prevention and control into the occupational health legal framework through revising existing laws, advancing dedicated legislation, and ratifying relevant international conventions, to strengthen the occupational health legal system. All stakeholders should clarify the responsibilities for WPV prevention and control of healthcare workers, and ensure comprehensive legislative response.

Objective:To investigate the effect of concentrated growth factor (CGF) on the biological performance of human dental pulp stem cells (hDPSCs) under oxidative stress status induced by hydrogen peroxide (H 2O 2). Methods:The hDPSCs were isolated by using tissue block separation method from healthy permanent teeth extracted for orthodontic reason. hDPSCs surface markers CD34, CD45, CD90 and CD105 were detected by flow cytometry. Alkaline phosphatase (ALP), alizarin red S (ARS), oil red O staining and colony formation assay were used to identify hDPSCs. After the cell counting kit-8 (CCK-8) detection, the optimal H 2O 2 concentration was used to construct the hDPSCs oxidative stress model. CGF conditioned medium was prepared by repeated freeze-thaw methods. After CCK-8 detection, the optimum CGF concentration was chosen for the subsequent experiments. The hDPSCs were divided into control group, H 2O 2 (only H 2O 2 processing), H 2O 2+CGF group (H 2O 2 processing in combination with the CGF) and CGF group (only CGF processing). Subsequent experiments were performed according to these groups. The oxidative stress model was verified by reactive oxygen species, β-galactosidase staining and Western blotting. The effects of CGF on the proliferation and migration of hDPSCs under oxidative stress status were detected by CCK-8 and cell scratch assay, respectively. ALP activity and ARS staining were used to detect the effect of CGF on the osteogenic differentiation of hDPSCs under oxidative stress status. The mRNA expression levels of odontogenesis related genes were detected by real-time fluorescence quantitative PCR (RT-qPCR), and the expression levels of odontogenesis and osteogenesis related proteins were detected by Western blotting. Results:Isolated hDPSCs showed positive expression of mesenchymal stem cells surface markers of CD90, CD105, and negative expression of hematopoietic stem cells surface markers CD34, CD45. The hDPSCs were proved to have the capacity of osteogenic, adipogenic differentiation and clone formation. The optimal concentration to construct the oxidative stress model was 200 μmol/L H 2O 2. Twenty percent CGF was the optimal concentration for subsequent experiments. Compared with the control group, the expression of aging protein p53 was significantly up-regulated from (0.82±0.12) to (1.19±0.14) in H 2O 2 group ( P<0.05), with deepened β-galactosidase staining and increased fluorescence intensity of reactive oxygen species. The proliferative capacity of cells in H 2O 2+CGF group on day 1, 3, 5 and 7 (0.23±0.01, 0.50±0.02, 1.60±0.07, 1.80±0.21) were all higher than in H 2O 2 group (0.15±0.01, 0.14±0.02, 0.50±0.03, 0.90±0.09) ( P<0.05). Cell healing capacity of cells in H 2O 2+CGF group at 12 h and 24 h [(47±7)%, (58±44)%] also increased compared with the H 2O 2 group [(36±2)%, (44±2)%] ( P<0.05), and similar results in the activity of ALP and the formation of mineralized nodules. On day 28, the mRNA expressions of dentin sialophosphoprotein (0.52±0.16) and dental matrix protein 1 (DMP-1) (0.39±0.13) in H 2O 2 group were all significantly lower than those in H 2O 2+CGF group (0.96±0.24, 0.83±0.30, respectively) and CGF group (1.12±0.18, 1.23±0.19, respectively) ( P<0.05). On day 28, the expressions of odontogenesis related protein DMP-1 (0.27±0.04) and osteogenesis related protein Runt-related transcription factor-2 (0.42±0.15) in H 2O 2 group were all significantly lower than those in H 2O 2+CGF group (0.66±0.18, 0.68±0.04) and CGF group (1.15±0.13, 1.06±0.19, respectively) ( P<0.05). Conclusions:H 2O 2 can induce oxidative stress in hDPSCs, while CGF can promote proliferation, migration, odontogenic and osteogenic differentiation of hDPSCs under oxidative stress status.

Objective:The differentially expressed genes(DEGs)and activated signaling pathways in systemic sclerosis(SSc)were screened by bioinformatics methods,and Chinese medicines for potential treatment of SSc were explored,providing a new theoretical basis for the study of SSc and the screening of potential markers.Methods:The data sets GSE58095,GSE130953,GSE33463 and GSE58613 were selected from GEO database and divided into skin group and peripheral blood group according to the sample source.The DEGs of SSc patients was analyzed by R language,and the Wayne diagram was drawn to take the intersection of the two groups.Metascape was used for GO enrichment analysis and KEGG pathway enrichment analysis,and STRING and Cytoscape were used for protein interaction network analysis to find key pathways and hub genes.The core genes were mapped to the medical on-tology information retrieval platform,and related Chinese medicines for SSc treatment were screened.The effective components of Chi-nese medicines were obtained through TCMSP and HERB databases,and the target letters of active ingredients were obtained through swiss database.The"drug-active ingredient-target"network was constructed by Cytoscape.Results:Total 218 DEGs were identified from the skin group of patients with SSc,and 283 DEGs were screened from peripheral blood of patients with SSc.Among them,there were 7 DEGs co-upregulated in skin and peripheral blood,namely ISG15,LGALS3BP,BST2,C1QB,IFI27,CEACAM1 and FBP1.CAMK2N1 was up-regulated in skin but down-regulated in peripheral blood,ARG1 was down-regulated in skin but up-regulated in pe-ripheral blood.GO and KEGG analysis of SSc DEGs showed that these genes were significantly enriched in inflammatory response,he-moglobin complex,immune receptor activity and extracellular matrix.The results of protein interaction network suggest that more than 10 genes such as COL1A1,CTGF12,IL1B,IFNG and JUN may be potential markers of SSc and core genes of therapeutic targets.The potential Chinese medicines screened for SSc treatment include ginseng,sanguisorba,convolvula,wolfberry,safflower,etc.The main components of these herbs were β-sitosterol,quercetin,kaempferol,stigmasterol,luteolin,sitosterol,Spinasterol,and the target were AKR1B1,AR,CYP1B1,XDH,etc.Conclusion:This study uses bioinformatics to screen out core genes that may be potential markers and therapeutic targets for SSc,which is expected to be a new target for the early diagnosis and mechanism research of SSc.Meanwhile,the mapped Chinese medicine and its effective components can provide ideas for the research and development of Chinese medicine compounds for the treatment of SSc.

Background:The diversity and function of gut microbiota have been regarded as crucial factors affecting human health.With the advances in genetics and epidemiology,especially the application of Mendelian randomization analysis,a novel perspective has been provided for profoundly uncovering the causal relationship between gut microbiota and duodenal ulcer.Aims:To investigate the causal relationship between gut microbiota and duodenal ulcer through two-sample Mendelian randomization analysis.Methods:Genetic variation samples of the gut microbiota were screened from the MiBioGen database.Genetic loci related to duodenal ulcer were selected as instrumental variables from genome-wide association study.The inverse-variance weighted method,weighted median method,and MR-Egger regression analysis were used to assess the causal relationship between gut microbiota and duodenal ulcer.Tests for heterogeneity and horizontal pleiotropy were conducted to ensure the stability of the results.Results:Bacteroides(OR=0.998,95%CI:0.996-1.000,P=0.014),Prevotella_7(OR=0.999,95%CI:0.998-1.000,P=0.043)and Terrisporobacter(OR=0.998,95%CI:0.997-1.000,P=0.029)exhibited negative causal relationship with duodenal ulcer,while Bifidobacterium(OR=1.001,95%CI:1.000-1.003,P=0.046),Lachnoclostridium(OR=1.002,95%CI:1.001-1.004,P=0.007)and Olsenella(OR=1.001,95%CI:1.000-1.002,P=0.018)presented positive causal relationship with duodenal ulcer.The sensitivity analysis indicated that the influences of heterogeneity and horizontal pleiotropy on the causal relationship could be excluded.Conclusions:The two-sample Mendelian randomization analysis revealed that Bacteroides,Prevotella_7 and Terrisporobacter were protective factors for duodenal ulcer,while Bifidobacterium,Lachnoclostridium and Olsenella were risk factors.

ObjectiveTo explore the distribution of pharyngeal microbiota in coal miners exposed to dust. Methods Eight coal miners who had been engaged in occupational dust exposure for more than 20 years were selected as the dust-exposed group, and four coal miners who were not exposed to dust at work were selected as the control group using the judgment sampling method. Pharyngeal secretions of the coal miners were collected with throat swabs, and its pharyngeal microbiota was analyzed. The diversity, abundance and evenness of the microbiota were analyzed by gene sequencing using the 16sRNA gene high-throughput sequencing technology. Results A total of 254 operational taxonomic units of pharyngeal microbiota were detected in the coal miners in the control group, which was 210 more than that in the dust-exposed group. The Chao1 index, Shannon index, PD-tree index and Pielou index of pharyngeal microbiota in the dust-exposed group decreased compared with the control group (all P<0.01). The abundance of Bacteroidetes and Clostridum, at the phylum level, in the pharynx of coal miners in the dust-exposed group was higher than that in the control group (all P<0.05). The abundance of Prevotella, Neisseria, and Monas, at the genus level, in the pharynx of coal miners in the dust-exposed group was higher than that in the control group(all P<0.05), while the abundance of Lactobacillus decreased (P<0.05). The analysis results of the receiver operating characteristic curve showed that Lactobacillus, Fusobacterium and Rothia may play a role for pharyngeal microbiota imbalance prediction in dust-exposed workers, and the area under the curves were all 1.00±0.00. Conclusion The species diversity and evenness of pharyngeal microbiota in coal miners exposed to dust are decreased, which may be related to the continuous inhalation of coal dust that disrupts the microbial environment of the throat.

ObjectiveTo provide scientific support for the compilation of high-quality anti-nuclear， biological， and chemical （NBC） medical textbooks in China by retrieving books in the field of biological weapons defense in China， summarizing the publication time and distribution of publishing institutions， and categorizing content and key points of related books. MethodsRelevant subject terms in the field of biological weapons defense were searched through the official website of China National Digital Library and other websites， up until December 31， 2023， and were limited to books. Topic analysis was conducted on the introductions and contents of the books using the latent Dirichlet allocation （LDA） model. The number of topics was determined based on perplexity， and topics were identified according to the intertopic distance map， followed by a qualitative description of the core content of each topic. ResultsA total of 104 books were included in this study， among which four were identified as higher educational textbooks. The volume of publications increased during the periods 2002‒2004 and 2020‒2023. Research institutions accounted for the highest percentage of publishers （37.78%）， and 56.67% of the publishers were military institutions. The study identified six topics： "distribution， defense， and response to biological weapons"， "category， diagnosis， and treatment of biological warfare agents"， "response to biological public health emergencies"， "status of nuclear， biological， and chemical weapons internationally"， "biosafety risk management and prevention and control"， and "technologies and equipment related to biological hazard identification". ConclusionThere are few books in the field of biological weapons defense in China and the content is relatively outdated. In the future， the preparation of teaching materials should be aimed at practical emergency handling techniques for biological weapons， enhance the emphasis on biological weapons detection and biological warfare early warning， improve the fundamental theories at different training levels， and timely update the current research status in the field.