To investigate the effects of phosphorus fertilizer on the morphological traits, active ingredients and rhizosphere soil microbial community of Polygala tenuifolia. The phosphorus fertilizer was calculated in terms of P_2O_5. Five treatments were set up: 0(CK), 17(P1), 34(P2), 51(P3), and 68(P4) kg per Mu(1 Mu≈667 m~2). A randomized block design was adopted. Samples of P. tenuifolia and its rhizosphere soil were collected under different superphosphate fertilizer treatments. Illumina high-throughput sequencing was used to analyze the rhizosphere soil microbial community, 9 morphological traits were measured and the content of 11 active ingredients were determined. The results showed that the whole plant weight, shoot fresh weight, root weight, and root peel thickness were the highest under P1 treatment, increasing by 34.41%, 38.80%, 39.21%, and 3.17% respectively compared to CK. Under P2 treatment, the plant height, stem diameter, root thickness, and core thickness were significantly higher than CK. Phosphorus fertilizer had a significant impact on the content of tenuifolin, sibiricose A5, sibiricose A6, arillanin A, 3,6'-disinapoyl sucrose, and polygalaxanthone Ⅲ. Correlation analysis results showed that the relative abundance of Arthrobacter, Bacillus, norank＿f＿Vicinamibacteraceae, norank＿o＿Vicinamibacterales, MND1 and other bacteria, as well as the relative abundance of Neocosmospora, Paraphoma and other fungi were positively correlated with root diameter, wood core diameter, the whole plant weight, root weight, shoot fresh weight of P. tenuifolia. Bacillus, Neocosmospora, Subulicystidium were significantly positively correlated with oligosaccharides such as 3,6'-disinapoyl sucrose, sibiricose A5、sibiricose A6、glomeratose A、arillanin A and tenuifoliside C. Arthrobacter, Humicola, Aspergillus, Paraphoma were positively correlated with tenuifolin and norank＿f＿Vicinamibacteraceae, norank＿o＿Vicinamibacterales, Fusarium were positively correlated with polygalaxanthone Ⅲ. Evidently, appropriate phosphorus application is conducive to the growth and quality improvement of P. tenuifolia, and can increase the abundance of beneficial microorganisms in the soil.
Rhizosphere ; Phosphorus/pharmacology* ; Soil Microbiology ; Polygala/anatomy & histology* ; Fertilizers/analysis* ; Bacteria/metabolism* ; Soil/chemistry* ; Microbiota/drug effects* ; Plant Roots/metabolism*

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

A method for simultaneous determination of 21 kinds of Aconitum alkaloids(ATS)in biological specimens and infused liquor using ultra-performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)was developed.The biological samples were pretreated with methanol-acetonitrile(1∶2,V/V)for protein precipitation,while infused liquors were diluted 100-fold with acetonitrile,followed by centrifugation,and filtration by a 0.22-μm membrane.Chromatographic separation was carried out on an EC-C18 column using gradient elution with the mixture of 10 mmol/L ammonium acetate and 0.2%formic acid as mobile phase A and acetonitrile as mobile phase B.With this method,all the analytes were separated within 9.5 min.The samples were detected in positive ESI mode with dynamic multiple reaction monitoring(MRM)and quantified via external standard calibration.The results showed that the concentrations of the analytes in the range of 2-1000 ng/mL had excellent linearity(R2>0.9992)with the peak area.The developed method was successfully used for detection of 21 kinds of aconitum alkaloids,with limits of detection of 0.5-2 ng/mL,quantification limits of 2-6 ng/mL,intra/inter-day precision≤6.0%,spiked recoveries of 89.4%-100.9%,extraction recoveries of 74.2%-104.4%,and matrix effects ranging from-11.1%to 9.2%in blood/urine.The method was applied to detection of 12 samples from 4 fatal aconite poisoning cases,and all 21 kinds of ATS with total alkaloid concentrations of 0.04-4.18 μg/mL in blood and 154.96-422.83 μg/mL in medicinal liquors were detected.Tissue distribution revealed that the order of concentrations from highest to lowest is as follows:urine(157.22 μg/mL)>gastric contents(51.37 μg/mL)>kidney(21.6 μg/g)>whole blood(4.18 μg/mL)>liver(0.03 μg/g).This method showed many advantages such as simple pretreatment,low detection limits,accurate quantification,broad analyte coverage,and superior anti-interference capability in complex matrices,proving ideal for forensic and toxicological analysis of aconitum alkaloids.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Tuberculosis(TB)is still a serious threat to global public health,causing millions of people infected ev-ery year.Mycobacterium tuberculosis(MTB)is the main pathogen causing TB.In recent years,MTB extracellular vesicles(MEVs)as important carriers for MTB-secreted Mycobacterium antigens have attracted the attention of re-searchers.MEVs enable MTB to secrete phospholipid,nucleic acid,lipopolysaccharide,and periplasmic component in a centralized protective mode,and interact with the host.Some progress has been made on the study of partial contents of MEVs,but the understanding of their biological mechanisms,functions,and roles in the immune re-sponses during MTB infection is still at its early stages.This article reviews the current progress in the biogenesis of MEVs,their roles in MTB infection and immune responses regulation,and discusses their applications in vaccine development and diagnostic techniques.

Objective To explore the value of serum D-dimer(D-D),fibrinogen(FIB),platelet(PLT),C-reactive pro-tein(CRP)and tissue plasminogen activator inhibitor(PAI)-1 levels in predicting lower extremity deep vein thrombosis(DVT)after hip joint surgery in the elderly.Methods A retrospective analysis was performed on 165 elderly patients with hip joint surgery admitted from February 2020 to May 2022,including 89 males and 76 females,aged from 60 to 75 years old with an average of(66.43±5.48)years,and there were 102 cases of femoral neck fracture and 63 cases of femoral head necrosis.Serum levels of D-D,FIB,PLT,CRP and PAI-1 tests were performed in all patients within 24 hours after admission,and the patients were divided into DVT group and non-DVT group according to whether they developed DVT.Results The levels of D-D,FIB,PLT,CRP,and PAI-1 in the DVT group were higher than those in the non-DVT group(P＜0.001).Spearman analysis showed that DVT was positively correlated with PLT,CRP,D-D,FIB,and PAI-1 levels(r=0.382,0.213,0.410,0.310,0.353,all P＜0.001).The results of binary Logistic regression analysis showed that D-D and PLT were independent factors affecting the occurrence of DVT(OR=0.038,0.960,P=0.032,0.011).The area under curve(AUC)of D-D,FIB,PLT,CRP,PAI-1,and the five combined predictions for DVT were 0.843,0.692,0.871,0.780,0.819,and 0.960,respectively.The AUC of the five combined predictions was higher than that of the single prediction(P＜0.05).Conclusion D-D,FIB,PLT,CRP and PAI-1 are effective in predicting DVT after hip surgery in the elderly,and the combined prediction of the five factors has higher effi-cacy.

Objective To study the levels of serum Periostin and interleukin(I1-)-18 in preterm infants with bronchopulmonary dysplasia(BPD),and to analyze their correlation with the severity of the disease and their predictive value for BPD.Methods A total of 62 preterm infants with BPD diagnosed and treated in the hospital from January 2019 to January 2022 were retrospectively selected as the BPD group,and 80 preterm in-fants without BPD during the same period were selected as the non-BPD group.According to the severity of BPD,the infants with BPD were divided into mild subgroup(22 cases),moderate subgroup(24 cases)and se-vere subgroup(16 cases).The serum levels of Periostin and IL-18 were detected by enzyme-linked immu-nosorbent assay.Pearson correlation analysis was used to analyze the correlation between the clinical parameters.Multivariate Logistic regression was used to analyze the influencing factors of BPD,and receiver operating characteristic(ROC)curve was used to analyze the predictive value of each indicator for BPD.Results Compared with the non-BPD group,the BPD group had a significantly higher proportion of infants with pulmonary surfactant(PS)use,neonatal respiratory distress syndrome,apnea,patent ductus arteriosus,and serum levels of Periostin and IL-18,as well as a significantly longer duration of mechanical ventilation,noninvasive respiratory support,and length of hospital stay.The lung function parameters[tidal volume per kilogram(VT/kg),ratio of time to peak tidal expiratory flow to time(TPTEF/TE),ratio of volume to peak tidal expiratory flow to volume(VPEF/VE),expiratory flow at 50％tidal volume(50％TEF),expiratory flow at 75％tidal volume(75％TEF)]and 1,5 min Apgar score of BPD group were lower than that of non-BPD group,and the differences were statistically significant(P＜0.05).The serum levels of Periostin and IL-18 in mild subgroup,moderate subgroup and severe subgroup were increased in turn.The levels of serum Periostin and IL-18 were negatively correlated with pulmonary function indexes(VT/kg,50％TEF,75％TEF,TPTEF/TE,VPEF/VE,P＜0.05).Serum Periostin,IL-18 and neonatal respiratory distress syndrome were independent risk factors for BPD(P＜0.05),and PS was a protective factor(P＜0.05).Serum Periostin,IL-18 and neonatal respiratory distress syndrome were independent risk factors for the severity of BPD(P＜0.05).The area under the curve(95％CI)of serum Periostin and IL-18 alone and in combination for predicting BPD were 0.841(0.814-0.899),0.863(0.820-0.897),0.922(0.878-0.949),respectively.The sensitivity and specificity of combined prediction were 0.902 and 0.825,respectively.The area under the curve of the combination of the two indica-tors for predicting BPD was greater than that of each index alone,and the difference was statistically signifi-cant(Z=5.357,4.894,P＜0.001).Conclusion The levels of serum Periostin and IL-18 are increased in in-fants with BPD,which are related to the severity of BPD and lung function.The combination of serum Perios-tin and IL-18 has a high predictive value for BPD.

Objective To investigate the differential expression of miR-124-3p in peripheral blood and clinical sig-nificance of patients with β-thalassemia.Methods Peripheral blood samples were collected from 33 patients with β-thalassemia and 30 healthy controls in Ningde Municipal Hospital Affiliated to Ningde Normal University from June 2021 to August 2022.The expression level of miR-124-3p was detected.Luciferase reporter gene was used to verify the interaction between miR-124-3p and ERF 3'UTR.The correlation between differential expression of miR-124-3p and β-thalassemia was analyzed and the clinical diagnostic value of miR-124-3p for β-thalassemia was eval-uated.Results Compared with healthy control individuals,the expression of miR-124-3p was significantly up-reg-ulated in patients with β-thalassemia(P＜0.001).The genotype of miR-124-3p high expression group was 84.2%β0(16/19),the genotype of low expression group was 55.6%β+(10/18).ROC curve analysis showed that miR-124-3p had predictive efficacy for β-thalassemia(AUC:0.842).Luciferase reporter gene analysis showed that ERF gene was the regulatory target of miR-124-3p.Conclusions The differential expression of miR-124-3p in patients with β-thalassemia is closely related to the genotype and clinical severity of thalassemia,and ERF is negatively reg-ulated by miR-124-3p.miR-124-3p may be an effective diagnostic biomarker for β-thalassemia.

Objective To investigate the disease spectrum and pathogenic genes of inherited metabolic disorder(IMD)among neonates in Gansu Province of China.Methods A retrospective analysis was conducted on the tandem mass spectrometry data of 286 682 neonates who received IMD screening in Gansu Provincial Maternal and Child Health Hospital from January 2018 to December 2021.A genetic analysis was conducted on the neonates with positive results in tandem mass spectrometry during primary screening and reexamination.Results A total of 23 types of IMD caused by 28 pathogenic genes were found in the 286 682 neonates,and the overall prevalence rate of IMD was 0.63‰(1/1 593),among which phenylketonuria showed the highest prevalence rate of 0.32‰(1/3 083),followed by methylmalonic acidemia(0.11‰,1/8 959)and tetrahydrobiopterin deficiency(0.06‰,1/15 927).In this study,166 variants were identified in the 28 pathogenic genes,with 13 novel variants found in 9 genes.According to American College of Medical Genetics and Genomics guidelines,5 novel variants were classified as pathogenic variants,7 were classified as likely pathogenic variants,and 1 was classified as the variant of uncertain significance.Conclusions This study enriches the database of pathogenic gene variants for IMD and provides basic data for establishing an accurate screening and diagnosis system for IMD in this region.

Tuberculosis(TB)is still a serious threat to global public health,causing millions of people infected ev-ery year.Mycobacterium tuberculosis(MTB)is the main pathogen causing TB.In recent years,MTB extracellular vesicles(MEVs)as important carriers for MTB-secreted Mycobacterium antigens have attracted the attention of re-searchers.MEVs enable MTB to secrete phospholipid,nucleic acid,lipopolysaccharide,and periplasmic component in a centralized protective mode,and interact with the host.Some progress has been made on the study of partial contents of MEVs,but the understanding of their biological mechanisms,functions,and roles in the immune re-sponses during MTB infection is still at its early stages.This article reviews the current progress in the biogenesis of MEVs,their roles in MTB infection and immune responses regulation,and discusses their applications in vaccine development and diagnostic techniques.