Objective To analyze the influencing factors of malaria infection of labor service exported to overseas in Langfang City, in order to establish a visualization tool to assist clinicians in predicting the risk of malaria. Methods A total of 4 774 expatriate employees of the Nibei Pipeline Project of the Pipeline Bureau from October 2021 to August 2023 were taken as the subjects, and the gender, age, overseas residence area and Knowledge of malaria controlscores of the study subjects were investigated by questionnaire survey, and the possible risk factors of malaria were screened by logistic regression model. At the same time, the nomogram prediction model was established, and the subjects were divided into the training group and the validation group at a ratio of 2:1, and the area under the curve (ROC) and the decision curve were plotted to evaluate the prediction ability and practicability of the prediction model in this study. Results Among the 4 774 study subjects, 96 cases of malaria occurred, and the detection rate was 2.01%. Junior school （OR=1.723，95% CI:1.361-2.173）， and residence in rural areas（OR=2.091，95%CI:1.760 -3.100）were risk factors (OR>1), while protective measures（OR=0.826，95% CI : 0.781 - 0.901） and high malaria education scores （OR=0.872，95% CI : 0.621 - 0.899）were protective factors.The nomogram prediction model results showed that the area under the curve of the nomogram prediction model in the training group was 0.94 (95% CI : 0.85 - 1.00), while the validation group was 0.93 (95% CI : 0.80 - 1.00). The results of the decision curve showed that when the threshold probability of the population was 0-0.9, the nomogram model was used to predict the risk of malaria occurrence with the highest net income. Conclusion The nomogram prediction model (including gender, education, region, protection and malaria education score) established and validated in this study is of great value for clinicians to screen high-risk patients with malaria.

BACKGROUND: For lung transplant recipients (LTRs), rehabilitation management after lung transplantation is a crucial link affecting the recovery of pulmonary function. This study systematically summarizes and generalizes the relevant evidences on postoperative pulmonary function rehabilitation management in LTRs, thereby providing a basis for formulating clinical strategies for postoperative pulmonary function rehabilitation management in this patient population. METHODS: Based on the "6S" evidence model, a systematic search was conducted in domestic and international databases and websites, including UpToDate, BMJ Best Practice, Cochrane Library, Web of Science, China Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Wanfang Database, Guidelines International Network (GIN), and China Yimai Tong Guidelines Network, from the establishment of each database to July 2025. Relevant evidences on postoperative pulmonary function rehabilitation management for LTRs were extracted, and two researchers independently conducted quality assessment, evidence extraction, and integration of the included literature. RESULTS: A total of 18 studies were included, consisting of 3 expert consensuses, 4 systematic reviews/evidence summaries, 4 randomized controlled trials (RCTs), 5 quasi-experimental studies, and 2 cohort studies. A total of 30 pieces of best evidence were summarized, covering 8 themes: rehabilitation assessment, early intervention, exercise training, nutritional management, medication management, respiratory function training, psychological support, and long-term follow-up. CONCLUSIONS Based on evidence-based principles, this study summarizes the best evidence for postoperative pulmonary function rehabilitation training in LTRs and proposes 30 clinically applicable recommendations, which provides a theoretical basis for the clinical implementation of pulmonary function rehabilitation management. Clinical medical and nursing staff should combine specific clinical scenarios and professional judgments to translate the evidence into practice, and provide scientific rehabilitation management and guidance for LTRs.
Humans ; Lung Transplantation/rehabilitation* ; Lung/surgery* ; Transplant Recipients

Docynia delavayi (Franch.) Schneid. is an economic fruit plant with high medicinal and edible values. The TCP gene family plays a vital role in plant growth and development. To explore the function of the TCP gene family in the growth and development of D. delavayi. In this study, the TCP gene family (DdeTCP) members were identified from the D. delavayi genome and their expression levels at different stages of seed germination and fruit development were analyzed. The results showed that a total of 18 DdeTCP genes were identified from the D. delavayi genome, with uneven location on 11 chromosomes. The phylogenetic tree showed that the 18 DdeTCPs could be classified into class Ⅱ (3) and class Ⅱ (15), suggesting that functional differentiation occurred among the DdeTCP family members. DdeTCP11 highly homologous to AtTCP14 was highly expressed in the early stage of seed germination, which suggested that this gene played a key role in seed germination. In addition, DdeTCP16 in class Ⅱ had a high expression level during the fruit ripening stage, which indicated that it might be related to fruit ripening. The findings lay a foundation for probing into the roles of the DdeTCP gene family in the growth and development of D. delavayi.
Phylogeny ; Gene Expression Regulation, Plant ; Multigene Family ; Genome, Plant/genetics* ; Plant Proteins/genetics* ; Transcription Factors/genetics* ; Germination/genetics* ; Fruit/growth & development* ; Genes, Plant

Objective To investigate the relationship between serum cyclophilin A(CypA),ischemia modi-fied albumin(IMA),galectin-3(Gal-3)levels and oxidative stress and cognitive impairment(CI)in patients with acute cerebral infarction(ACI)complicated with obstructive sleep apnea hypopnea syndrome(OSAHS).Methods A total of 168 patients with ACI complicated with OSAHS who were admitted to the hospital from December 2020 to October 2023 were selected,and the levels of serum CypA,IMA,Gal-3 and oxidative stress indexes[superoxide dismutase(SOD),malondialdehyde(MDA)]in patients with different severity(mild group,moderate group,severe group)were compared.The correlation between serum CypA,IMA,Gal-3 lev-els and oxidative stress indexes were analyzed by Pearson method.The incidence of CI in patients with ACI complicated with OSAHS were statistically analyzed,the levels of serum CypA,IMA and Gal-3 were com-pared between normal cognitive group and CI group,and the risk factors of CI in patients with ACI complicat-ed with OSAHS were analyzed by multivariate Logistic regression model.Results The levels of serum CypA,IMA,Gal-3 and MDA in mild group,moderate group and severe group increased in turn(P<0.05),and ser-um SOD level decreased in turn(P<0.05).Serum CypA,IMA and Gal-3 in ACI patients complicated with OSAHS were negatively correlated with SOD(P<0.05),and positively correlated with MDA(P<0.05).Of 168 ACI patients complicated with OSAHS,79 cases(47.02%)had CI and were included in the CI group.Compared with normal cognitive group,the serum levels of CypA,IMA and Gal-3 in CI group were signifi-cantly increased(P<0.05).Multivariate Logistic regression model analysis showed that apnea hypopnea in-dex(AHI)≥20 times/h,frontal and temporal lobe infarction,elevated CypA level,elevated IMA level,and el-evated Gal-3 level were risk factors for CI in ACI patients complicated with OSAHS(P<0.05).Conclusion The high expression of serum CypA,IMA and Gal-3 in patients with ACI complicated with OS-AHS is significantly correlated with oxidative stress and CI.The increase of serum CypA,IMA and Gal-3 lev-els indicates an increased risk of CI in patients with ACI complicated with OSAHS,and early detection of the three has good clinical value in evaluating the condition of patients with ACI complicated with OSAHS.

Objective To investigate the predictive value of neuregulin 4(Nrg4)combined withγ-aminobutyric acid(GABA)in cognitive dysfunction among patients with severe obstructive sleep apnea-hypopnea syndrome(OSAHS).Methods A total of 169 patients with severe OSAHS were se-lected as study subjects and divided into normal cognitive function group(n=89)and cognitive dys-function group(n=80)based on cognitive function assessment results.General information of the pa-tients was collected,and the levels of Nrg4 and GABA were detected by enzyme-linked immunosor-bent assay(ELISA).Receiver operating characteristic(ROC)curve analysis was used to evaluate the predictive value of Nrg4 and GABA for cognitive dysfunction in OSAHS patients.Results The proportions of patients with a history of hypertension and diabetes,as well as the levels of diastolic blood pressure,total cholesterol(TC),triglyceride(TG),high-density lipoprotein cholesterol(HDL-C),and low-density lipoprotein cholesterol(LDL-C)were significantly higher in the cognitive dysfunction group than those in the normal cognitive function group(P＜0.05).The levels of Nrg4 and GABA were significantly lower in the cognitive dysfunction group than in the normal cognitive function group(P＜0.05).The Montreal Cognitive Assessment(MoCA)score in the cognitive dys-function group was significantly lower than that in the normal cognitive function group[(12.36±2.35)versus(28.25±1.02),P＜0.05].Multivariate Logistic regression analysis revealed that a history of hypertension and diabetes,diastolic blood pressure,TC,TG,HDL-C,and LDL-C were risk factors for cognitive dysfunction in patients with severe OSAHS(P＜0.05),while Nrg4,GABA,and MoCA scores were protective factors(P＜0.05).ROC curve analysis showed that combined de-tection of Nrg4 and GABA had a higher predictive value for cognitive dysfunction in patients with se-vere OSAHS compared with either marker alone(P＜0.05).Conclusion A history of hyperten-sion and diabetes,diastolic blood pressure,TC,TG,HDL-C,LDL-C,Nrg4,GABA,and MoCA scores are all factors influencing cognitive dysfunction in patients with severe OSAHS.Combined de-tection of Nrg4 and GABA can effectively predict cognitive dysfunction in these patients.

Objective : To explore the effects and mechanisms of Kobophenol A ( KPA) on lipopolysaccharide ( LPS) -induced M1 macrophage polarization，and to provide a theoretical basis for the treatment of inflammatory immune diseases and the development of new drugs． Methods: The M1 macrophage polarization model of RAW264. 7 was established by LPS induction，and the peroxiredoxin 6 ( Prdx6) knockdown model was constructed using the Prdx6 inhibitor MJ33 and Prdx6-siRNA．RAW264. 7 cells，a mouse macrophage cell line，were treated with various concentrations of KPA． Cell viability was assessed using the CCK-8 assay．The expression levels of Prdx6 and M1 macrophage polarization-related proteins，including inducible nitric oxide synthase ( iNOS) and cyclooxygenase-2 ( COX-2) ，were detected by Western blot and immunofluorescence staining．The expression levels of Prdx6 and M1 macrophage polarization-related genes iNOS，interleukin-6 ( IL-6) ，and tumor necrosis factor α ( TNF-α) ，were measured by RT-qPCR. Flow cytometry was employed to detect the expression of cluster of differentiation 86 ( CD86) ，a marker of M1 macrophages． Results: Compared with the LPS-induced M1 macrophage polarization model ， KPA significantly reversed the morphological changes of M1 macrophage polarization in RAW264. 7 macrophages and decreased the expression of M1 macrophage polarization-related proteins iNOS，COX- 2，CD86 and related genes iNOS，IL-6，TNF-α ( all P＜0. 05) ．In addition，LPS significantly downregulated the expression of Prdx6 in RAW264. 7 macrophages，while KPA upregulated the expression of Prdx6．Moreover，treatment with the Prdx6 inhibitor MJ33 significantly upregulated the expression of iNOS，a marker of M1 macrophage polarization，in RAW264. 7 macrophages，whereas treatment with KPA significantly downregulated the expression of iNOS ( all P＜0. 05) ． Conclusion KPA inhibits LPS-induced M1 polarization of RAW264. 7 macrophages by upregulating the expression of Prdx6．

Objective To explore the research hotspots and latest progress of lung transplantation nursing at home and abroad, and to provide reference ideas and directions for the future related research. Methods Through the collection of CNKI and Web of Science core database, the related literature of lung transplantation nursing from inception to December 2023 was retrieved and CiteSpace software was used to focus on keyword co-occurrence, clustering and emergence. Results A total of 352 Chinese literature and 126 English literature were included in this study, and the number of papers published at home and abroad showed an overall upward trend. There were 34 core authors of Chinese literature and 83 core authors of English literature. The core authors led the team to promote research and promote cooperation at home and abroad. At present, the cooperation among research teams needed to be strengthened. Chinese literature keywords included nursing, lung transplantation, extracorporeal membrane oxygenation, lung rehabilitation, lung transplantation surgery, complications. English literature keywords included lung transplanation, quality of life, international society, disease, bone marrow transplantation. There were 15 clusters and 25 emergent keywords in the CNKI database, and 12 clusters and 25 emergent keywords in the Web of Science core database. Conclusion The study of lung transplantation nursing at home and abroad has been paid more and more attention, and the research is getting more and more sophisticated. The future study can realize the holistic care of patients during perioperative period on the basis of clinical diagnosis and nursing technology, and improve the survival of patients after operation.

OBJECTIVE To study the best extraction process of β-asarone from Acori Tatarinowii Rhizoma by ethanol heating reflux method, and to explore the antioxidant activity of different segments. METHODS With β-asarone from Acori Tatarinowii Rhizoma as the evaluation index to optimize the extraction method. On the basis of a single factor experiment, the effects of ethanol concentration, solid-liquid ratio and extraction time on the extraction amount of β-asarone from Acori Tatarinowii Rhizoma were investigated by orthogonal design and response surface methodology. After the optimal extraction process was determined, the antioxidant activities of different segments were studied. RESULTS The optimum extraction process of β-asarone from Acori Tatarinowii Rhizoma was as follows: ethanol concentration was 95%, solid-liquid ratio was 1∶20 g·mL–1 and extraction time was 2.5 h. Under these conditions, the extraction amount of β-asarone from Acori Tatarinowii Rhizoma was 0.918 7 mg·g–1. The results of in vitro antioxidant activity showed that the order of antioxidant capacity was ethyl acetate>petroleum ether>ethanol>n-butanol. Among them, the ethyl acetate fraction had the strongest antioxidant activity, with good ability to scavenge DPPH and ABTS free radicals, and had certain reduction ability. CONCLUSION The optimized method is stable, reliable and simple, which can be used for extraction and antioxidant activity determination of β-asarone from Acori Tatarinowii Rhizoma, and provides a basis for the further development of Acori Tatarinowii Rhizoma.

Objective To establish an artificial intelligence (AI)-assisted platform for detection of parasite eggs, and to evaluate its detection efficiency and accuracy, so as to provide technical supports for elimination of parasitic diseases. Methods A total of 1 003 slides of Enterobius vermicularis, horkworm, Trichuris trichiura, Clonorchis sinensis, Taenia, Ascaris lumbricoides, Schistosoma japonicum, Paragonimus westermani and Fasciolopsis buski eggs were collected, and converted into digital images with an automatated scanning microscope to create a dataset. Based on the Object Detection platform on the Baidu Easy DL model, an AI-assisted platform for detection of parasite eggs was created through procedures of uploading, labeling, training, evaluation and optimization. Then, 70% of the datasets were randomly selected for model training, and the precision, recall and average accuracy were calculated to evaluate the effectiveness of platform for recognition of parasite eggs. In addition, the platform was deployed on the computer and smart phone terminals for use. Results An AI-assisted platform for detection of parasite eggs was successfully created. If the platform was deployed using the public cloud application programming interface (API), the average accuracy, precision and recall of the platform were 93.42%, 92.55% and 89.32% for recognition of parasite eggs. If the platform was deployed using the offline software development kit (SDK), the average accuracy, precision and recall of the platform were 92.97%, 94.78% and 87.63% for recognition of parasite eggs. In addition, the precision of the platform was 97.00% and 96.23% for identification of Taenia and C. sinensis eggs, respectively. Conclusions The AI-assisted platform for detection of parasite eggs has been successfully created, which is high in the accuracy for recognition of parasite eggs and convenient in use. This platform may provide a powerful technical support for parasitic disease diagnosis.

The liver is a common metastatic site of malignant tumors,and liver metastasis is also the leading cause of death due to metastatic tumors.Metastatic liver cancer has high heterogeneity,and there has been slow progress in the treatment of metastatic liver cancer for a long time.In recent years,the development of surgical techniques,systemic therapy,and the multidisciplinary team(MDT)diagnostic and therapeutic mode has led to revolutionary changes in the clinical management of metastatic liver cancer.The article reviews the recent progress in the treatment of metastatic liver cancer from the three aspects of surgical treatment,systemic therapy,and locoregional therapy.Combined therapy based on chemotherapy,targeted therapy,and immunotherapy remains the basic multimodality therapy for metastatic liver cancer.In addition,the development of locoregional therapy has brought new treatment options for patients with metastatic liver cancer.Standardized diagnosis and treatment based on high-level evidence-based evidence and related guidelines and individualized precise treatment under the guidance of MDT will be the future directions for the clinical management of metastatic liver cancer.