Objective To investigate the prevalence of spotted fever group rickettsiae (SFGR) infections in free-living ticks and among high-risk populations in the southern margin of the Gurbantunggut Desert, Xinjiang Uygur Autonomous Region, so as to provide insights into tick-borne diseases prevention and control in this region. Methods Free-living ticks were collected from five counties (cities) in the southern margin of the Gurbantunggut Desert, Xinjiang Uygur Autonomous Region. Tick species were identified by morphology combined with mitochondrial cytochrome c oxidase subunit Ⅰ (COI) gene analysis. Four target gene fragments of Rickettsia were amplified using a nested PCR assay, including outer membrane protein B (ompB), 17-kDa common surface antigen protein (17kDa), surface cell antigen 1 (sca1), and surface cell antigen 4 (sca4) genes, to detect the prevalence of SFGR infections in tick samples. Positive PCR amplification products were purified, sequenced, and subjected to sequence alignment, and phylogenetic trees were created using the neighbor-joining (NJ) method. Serum samples were collected from individuals at a high risk of tick exposure from six counties (cities, districts) in the southern margin of the Gurbantunggut Desert, Xinjiang Uygur Autonomous Region, and serum levels of anti-R. sibirica IgG antibodies were detected among these individuals using indirect immunofluorescence assay (IFA) and statistically analyzed. Results A total of 287 free-living ticks were collected, and all were identified as Hyalomma asiaticum. The overall prevalence of SFGR infection was 78.40% (225/287) in tick samples, and five Rickettsia species were characterized, including R. sibirica, which shared 99.81% (515/516) sequence homology with the strain detected in Dermacentor sinicus from China; R. massiliae, which shared 99.80% (509/510) sequence homology with the strain detected in Rhipicephalus sanguineus from Ethiopia; R. raoultii, which shared 100.00% (516/516) sequence homology with the strain detected in Hyalomma asiaticum from Xinjiang Uygur Autonomous Region in China; R. africae, which shared 100.00% (524/524) sequence homology with the strain detected in Amblyomma splendidum from Ethiopia; and Candidatus Rickettsia barbariae, which shared 99.80% (499/500) sequence homology with the strain detected in steppe polecats from Xinjiang Uygur Autonomous Region in China, with R. sibirica (33.80% detection rate, 97/287) and R. raoultii (33.10%, 95/287) as dominant species. A total of 1 489 serum samples were collected from individuals at a high risk of tick exposure, and the seroprevalence of antiR. sibirica IgG antibodies was 30.83% (459/1 489). There were no significant differences in the seroprevalence in terms of genders (χ² = 2.23, P > 0.05) or age groups (χ² = 6.45, P > 0.05); however, there was a region-specific seroprevalence rate of anti-R. sibirica IgG antibodies (χ² = 16.05, P < 0.05). Pairwise comparisons showed lower seroprevalence rate of anti-R. sibirica IgG antibodies among high-risk individuals in Midong District of Urumqi City (22.27%, 53/238) than in Wujiaqu City (34.70%, 93/268) and Manas County(37.55%, 98/261) (both P values < 0.05); however, they were not significantly different from those in the other regions (all P values > 0.05). Conclusion Multiple SFGR species are detected in H. asiaticum ticks sampled from the southern margin of the Gurbantunggut Desert, Xinjiang Uygur Autonomous Region, where there is a potential risk of local transmission of spotted fever rickettsiosis.

In recent years,the incidence rate of type 1 diabetes is on the rise.The causes of the disease are extremely complex,and the pathogenesis has not yet been fully clarified.Different types of studies have confirmed that the occurrence and evolution of type 1 diabetes is a typical process of polygene,multifactor,multi-stage and multi-channel,which is considered to be caused by the combined effect of genetic and environ-mental factors.At present,it is believed that environmental factors are related to the interaction of infection factors,diet factors,early exposure events,intestinal flora,immune factors,other factors and genetic factors.This article reviews the research on environmental factors of type 1 diabetes in recent years.

Objective To investigate the common molecular features of immunothrombosis, thus enhancing the comprehension of thrombosis triggered by immune and inflammatory responses and offering crucial insights for identifying potential diagnostic and therapeutic targets. Methods Differential gene expression analysis and functional enrichment analysis were conducted on datasets of systemic lupus erythematosus (SLE) and venous thromboembolism (VTE). The intersection of differentially expressed genes in SLE and VTE with those of neutrophil extracellular traps (NET) yielded cross-talk genes (CG) for SLE-NET and VTE-NET interaction. Further analysis included functional enrichment and protein-protein interaction (PPI) network assessments of these CG to identify hub genes. Venn diagrams and receiver operating characteristic (ROC) curve analysis were employed to pinpoint the most effective shared diagnostic CG, which were validated using a graft-versus-host disease (GVHD) dataset. Results Differential expression genes in SLE and VTE were associated with distinct biological processes, whereas SLE-NET-CG and VTE-NET-CG were implicated in pathways related to leukocyte migration, inflammatory response, and immune response. Through PPI network analysis, several hub genes were identified, with matrix metalloproteinase 9 (MMP9) and S100 calcium-binding protein A12 (S100A12) emerging as the best shared diagnostic CG for SLE (AUC: 0.936 and 0.832) and VTE (AUC: 0.719 and 0.759). Notably, MMP9 exhibited good diagnostic performance in the GVHD dataset (AUC: 0.696). Conclusion This study unveils the common molecular features of SLE, VTE, and NET, emphasizing MMP9 and S100A12 as the optimal shared diagnostic CG, thus providing valuable evidence for the diagnosis and therapeutic strategies related to immunothrombosis. Additionally, the expression of MMP9 in GVHD highlights its critical role in the risk of VTE associated with immune system disorders.
Humans ; Computational Biology/methods* ; Lupus Erythematosus, Systemic/immunology* ; Protein Interaction Maps/genetics* ; Venous Thromboembolism/therapy* ; Matrix Metalloproteinase 9/genetics* ; Extracellular Traps/metabolism* ; Gene Regulatory Networks ; Thrombosis/immunology* ; Graft vs Host Disease/genetics* ; Gene Expression Profiling

Objective: To construct a deep learning model based on convolutional neural network(CNN)-long short term memory network(LSTM)-Attention to explore the correlation between meteorological and clinical factors and the incidence of ischemic stroke. Methods: A fusion model CNN-LSTM-Attention based on CNN, LSTM, and Attention was constructed by incorporating clinical data and meteorological data of ischemic stroke inpatients. The predictive performance of the model was evaluated by maximum prediction error and root mean square error(RMSE). The impact of different lag days on prediction performance was investigated by selecting lag periods ranging from 1 to 7 days. Results: In both short-term and long-term predictions, the CNN-LSTM-Attention fusion model(short-term: 1.5 and 0.6; long-term: 8.3 and 2.5) showed superior maximum prediction bias and RMSE compared to the LSTM model(short-term: 2.8 and 1.2; long-term: 19.5 and 5.5) and the CNN-LSTM model(short-term: 2.0 and 0.8; long-term: 11.2 and 3.3). After incorporating lag days, the maximum prediction deviation and RMSE for lags of 3 days(short-term: 0.7 and 0.4; long-term: 5.5 and 1.9) and 5 days(short-term: 0.8 and 0.3; long-term: 6.5 and 2.0) in both short-term and long-term forecasts were smaller than lags of 0 days(short-term: 1.5 and 0.6; long-term: 8.3 and 2.5). The maximum prediction deviation and RMSE in the short-term forecast were greater than lag 0 days for both lag 1 days(1.5 and 0.8) and lag 7 days(1.9 and 0.9). In the long-term forecast, the two indicators for lag 1 days(6.8 and 2.4) were lower than those for lag 0 days but higher than those for lag 3 days and 5 days. The maximum prediction deviation for lag 7 days(7.5) was lower than that for lag 0 days, but the RMSE(2.7) is higher than that for lag 0 days. Conclusion The established CNN-LSTM-Attention model demonstrates significant predictive value for the onset of ischemic stroke and can provide reference for the rational allocation of medical resources.

Objective:To identify and synthesize the best available evidence for the prevention and management of enteral nutrition intolerance in postoperative patients with gastric cancer.Methods:Following the hierarchical structure of the "6S Evidence Resource Pyramid" model, evidence was systematically retrieved from evidence-based databases, clinical guidelines and professional societies' websites, and comprehensive literature databases. Studies related to the prevention and management of enteral nutrition intolerance in postoperative gastric cancer patients were screened. Two researchers, both trained in evidence-based nursing, independently conducted quality appraisal, evidence extraction, and integration. The search covered literature published from database inception to February 25, 2025.Results:A total of 23 studies were included, comprising 2 clinical guidelines, 1 evidence summary, 2 systematic reviews, 4 expert consensuses, 9 randomized controlled trials, 1 quasi-experimental study, 1 cohort study, 2 analytical cross-sectional studies, and 1 case-control study. Based on 6 key aspects (including preparation by Medical staff before surgery, postoperative patient assessment, formulation of feeding, rehabilitation exercises, traditional Chinese medicine interventions, and management of enteral nutrition intolerance), a total of 26 best evidence recommendations were summarized.Conclusions:The evidence summarized in this study provides an evidence-based foundation for clinical medical staff, contributing to the reduction of enteral nutrition intolerance in postoperative patients with gastric cancer.

Objective:To discuss the effect of long non-coding RNA(lncRNA)DUXAP8 in exosomes(Exo)derived from the lung cancer A549 cells on the growth and immune escape of the lung cancer cells,and to clarify the mechanism.Methods:The human lung cancer cell line A549 was cultured,and its exosomes were extracted and identified.The A549 cells were treated with PKH67-labeled Exo to observe the uptake of Exo by A549 cells.Real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression level of lncRNA DUXAP8 in A549 cells before and after Exo treatment.The A549 cells were divided into control group(no treatment),Exo group(A549 cells treated with Exo),Exo+sh-NC group(A549 cells treated with Exo and then transfected with sh-NC),and Exo+sh-DUXAP8 group(A549 cells treated with Exo and then transfected with sh-DUXAP8).RT-qPCR method was used to detect the expression level of lncRNA DUXAP8 in A549 cells in various groups;colony formation assay was used to detect the colony formation abilities of the A549 cells in various groups;5-ethynyl-2'-deoxyuridine(EdU)staining method was used to detect the proliferation abilities of the A549 cells in various groups.After co-culturing A549 cells in various groups with human peripheral blood lymphocytes,flow cytometry was used to detect the percentages of activated CD8+T lymphocytes in the human peripheral blood lymphocytes in various groups;3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide(MTT)method was used to detect the killing rates of human peripheral blood lymphocytes on the A549 cells in various groups.Results:The diameter of Exo vesicles was 50-150 nm,and the exosome-specific marker proteins cluster of differentiation 63(CD63),cluster of differentiation 9(CD9),tumor susceptibility gene 101(TSG101),and heat shock protein 70(HSP70)were positively expressed,indicating successful exosome extraction.A549 cells efficiently took up PKH67-labeled Exo.The RT-PCR results showed that compared with A549 cells cultured alone,the expression level of lncRNA DUXAP8 in the A549 cells was increased after treatment with Exo derived from A549 cells(P<0.05).compared with control group,the expression level of lncRNA DUXAP8 in the A549 cells in Exo group was increased(P<0.05);compared with Exo group,the expression level of lncRNA DUXAP8 in the A549 cells in Exo+sh-DUXAP8 group was decreased(P<0.05),while there were no significant difference in the expression level of IncRNA DUXAP8 in the cells in Exo+sh-NC group(P>0.05).The colony formation assay results showed that compared with control group,the number of colony formation of the A549 cells in Exo group was increased(P<0.05);compared with Exo group,the number of colony formation of the A549 cells in Exo+sh-DUXAP8 group was decreased(P<0.05),while there was no significant difference in the number of colony formation of the A549 cells in Exo+sh-NC group(P>0.05).The EdU staining results showed that compared with control group,the EdU-positive rate of the A549 cells in Exo group was increased(P<0.05);compared with Exo group,the EdU-positive rate in A549 cells in Exo+sh-DUXAP8 group was decreased(P<0.05),while there was no significant difference in the EDU-positive rate in the cells in Exo+sh-NC group(P>0.05).The flow cytometry results showed that compared with control group,the percentage of activated CD8+T lymphocytes in the human peripheral blood lymphocytes in Exo group was decreased(P<0.05);compared with Exo group,the percentage of activated CD8+T lymphocytes in the human peripheral blood lymphocytes in Exo+sh-DUXAP8 group was increased(P<0.05),while there was no significant difference in the percentage of activated CD8+T lymphaytes in Exo+sh-NC group(P>0.05).The MTT assay results showed that compared with control group,the killing rate of human peripheral blood lymphocytes on the A549 cells in Exo group was decreased(P<0.05);compared with Exo group,the killing rate of human peripheral blood lymphocytes on A549 cells in Exo+sh-DUXAP8 group was increased(P<0.05),while no significant difference was observed in Exo+sh-NC group(P>0.05).Conclusion:The lncRNA DUXAP8 in exosomes derived from the lung cancer A549 cells promotes the proliferation of lung cancer cells and tumor immune escape.

Objective:To investigate the synergistic activity and mechanism of vinegar baked radix bupleurum polysaccharides(VBCP)in combination with oxaliplatin(OXA),and to provide new ideas for the clinical treatment of primary hepatocellular carci-noma.Methods:MTT assay was used to detect the cytotoxic effect of VBCP 3-4 and VBCP 3-3 in combination with OXA on Huh7 cells;ICP-MS was used to measure the uptake rate of OXA by Huh7 cells and evaluate the in vitro synergistic pathway of VBCP 3-4 in combination with OXA;Western blotting was used to measure the expression levels of related transporter proteins in Huh7 cells and explore the synergistic mechanism of VBCP 3-4 in combination and MRP1 in Huh7 cells,and the protein expression level of multidrug resistance-associated protein(MRP)2 was upregulated to 18.11%and 25.00%,respectively(P=0.008,P=0.001),while that of MRP1 was upregulated to 28.51%(P>0.05)and 39.70%(P=0.015),respectively.After the combination of VBCP 3-4 and OXA,the protein expression of MRP2,MRP1,and breast cancer resis-tance protein(BCRP)was inhibited;MRP2 was reduced by 47.38%in the high-dose combination group(P=0.000)and 15.18%in the low-dose combination group(P=0.049);MRP1 was reduced by 64.96%in the high-dose combination group(P=0.000)and 34.63%in the low-dose combination group(P=0.000);BCRP was reduced by 29.00%(P=0.020)in the high-dose combination group.Acting on Huh7 cells alone,VBCP 3-4 significantly reduced the protein expression levels of MRP2,MRP1,and BCRP,and in the high-dose VBCP 3-4 group,MRP2 and MRP1 were reduced by 24.91%and 20.79%,respectively(P=0.004,P=0.005).VBCP 3-4 downregu-lated the protein expression level of BCRP by 15.02%in the high-dose group(P=0.003)and 13.92%in the middle-dose group(P=0.030).Conclusion:VBCP 3-4 exerts a synergistic effect by inhibiting the expression of the efflux transporter proteins MRP1,MRP2,and BCRP,promoting the intake of OXA by Huh7 cells,and increasing the intracellular effective concentration.

Objective:To identify and synthesize the best available evidence for the prevention and management of enteral nutrition intolerance in postoperative patients with gastric cancer.Methods:Following the hierarchical structure of the "6S Evidence Resource Pyramid" model, evidence was systematically retrieved from evidence-based databases, clinical guidelines and professional societies' websites, and comprehensive literature databases. Studies related to the prevention and management of enteral nutrition intolerance in postoperative gastric cancer patients were screened. Two researchers, both trained in evidence-based nursing, independently conducted quality appraisal, evidence extraction, and integration. The search covered literature published from database inception to February 25, 2025.Results:A total of 23 studies were included, comprising 2 clinical guidelines, 1 evidence summary, 2 systematic reviews, 4 expert consensuses, 9 randomized controlled trials, 1 quasi-experimental study, 1 cohort study, 2 analytical cross-sectional studies, and 1 case-control study. Based on 6 key aspects (including preparation by Medical staff before surgery, postoperative patient assessment, formulation of feeding, rehabilitation exercises, traditional Chinese medicine interventions, and management of enteral nutrition intolerance), a total of 26 best evidence recommendations were summarized.Conclusions:The evidence summarized in this study provides an evidence-based foundation for clinical medical staff, contributing to the reduction of enteral nutrition intolerance in postoperative patients with gastric cancer.

The symptom science model identifies complex symptoms and measures their phenotypic characteristics.It provides an in-depth analysis of symptom behaviors and biological mechanisms,aiding healthcare professionals in early symptom detection and initiating appropriate diagnostic and treatment measures.The model supports personalized interventions,aiming to achieve precision care and ultimately improve patient health.This study reviews the development and scope of the symptom science model,analyzes its current applications in chronic kidney disease,and explores its implications for symptom management in this condition.The aim is to offer insights and references for the scientific management of chronic kidney disease symptoms.

Objective To investigate the effect and potential mechanism of rat mesenchymal stem cells(MSC)on D-galactose-induced brain-tissue aging.Methods A rat brain-aging model was established by injecting D-galactose,and rats in the treatment group received MSC injections via the tail vein.Superoxide dismutase(SOD)activity and malondialdehyde(MDA)levels were assessed in rat brain tissue at the end of the experiment,and pathological changes in brain tissue were observed by hematoxylin-eosin(HE)staining.Expression levels of the inflammatory factors interleukin(IL)-1 and IL-6,the pathway proteins brain-derived neurotrophic factor(BDNF)-tropomyosin receptor kinase B(TrkB),the negative growth regulators p53 and p16,as well as vascular endothelial growth factor(VEGF)and basic fibroblast growth factor(bFGF)were observed by polymerase chain reaction(PCR)and Western Blot.Results Brain levels of SOD activity were significantly increased and MDA levels were significantly decreased in rats in the modle group compared with the treatment group(P＜0.05).The pathological state of the cerebral cortex and hippocampus were improved and the number of neurons and nucleus pulposus ratio in the brain were increased in the treatment group,as shown by HE staining.Expression levels of IL-1,IL-6,p53,and p16 were significantly decreased,while BDNF,TrkB,VEGF,and bFGF were significantly increased in the treatment group compared with the model group,as shown by PCR and Western Blot(P＜0.05).Conclusions These result suggest that MSCs potentially mitigate D-galactose-induced cerebral senescence by concurrently modulating the BDNF-TrkB axis to attenuate oxidative/inflammatory damage,while enhancing the secretion of vasculotrophic(VEGF)and neurotrophic(bFGF)factors for neuronal maintenance.