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*

Tuberculosis is a chronic infectious disease caused by Mycobacterium tuberculosis,pri-marily transmitted through respiratory droplets,and poses a significant global public health challenge.Despite the availability of vaccines and chemotherapy regimens,the emergence of drug resistance and high incidence rates continue to render the prevention and control situation severe.The intestinal mi-crobiota modulates host immunity through metabolites such as short-chain fatty acids,influencing macrophage function,T-cell differentiation,and inflammatory responses,thereby regulating tubercu-losis susceptibility,disease progression,and treatment responses.This review systematically summa-rized the role of intestinal microecology in immune regulation of tuberculosis and its potential applica-tion strategies,delved into the possible immune regulatory mechanisms,proposed that the interaction between intestinal microbiota and immune checkpoint inhibitors may serve as a warning for the clinical risk of tuberculosis reactivation,and analyzed the potential of intestinal microecology as a therapeutic target for tuberculosis.

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.

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.

Aim To research the neuroprotective effect of Haikun Shenxi (HKSX) medicated serum on N2a/ App695 cells and the underlying mechanism. Methods HKSX medicated serum was prepared and carbohydrate components in it was analyzed using high performance thin layer chromatography (HPTLC) . N2a/ App695 cells were intervened with HKSX medicated serum, the cytotoxicity of HKSX medicated serum was measured by MTT; AP[_

This study was aimed at understanding the etiological and genetic characteristics of Yersinia enterocolica isolated in Jiangsu Province between 2005 and 2019.All 110 identified strains of Y.enterocolica were from patients with foodborne diar-rhea in Jiangsu Province,or from pigs,dogs,cattle,sheep,poultry,flies,or food.Virulence genes,biological serotypes,drug resistance,multilocus sequence typing(MLST),and core genome multilocus sequence typing(cgMLST)based on whole-genome sequencing were performed.The strains included 27 pathogenic strains(24.5％)and 83 non-pathogenic strains(75.5％).Non-pathogenic strains accounted for a high proportion,particularly among strains from patients(15/16,93.8％).The biological serotypes of pathogenic strains were mainly type 3/O∶3(26/27,96.3％).Non-pathogenic strains included 1A/O∶8 type(23/83,27.7％),1 A/O∶5 type(14/83,16.9％),and the other four biological serotypes(excluding unknown se-rotypes).Pathogenic strains were dominated by type 3/O∶3(26/27,96.3％),and more than 80％of these strains were sensi-tive to 19 antibiotic types.Whole-genome sequencing indicated that the pathogenic strains were all ST135 type,whereas the non-pathogenic strains were more diverse and scattered.HierCC clustering analysis grouped all strains into three clus-ters:pathogenic strains were in one cluster,and strains from patients were found in all three clusters.In conclusion,the Y.enterocolica strains from patients were primarily non-patho-genic.Non-pathogenic strains showed richer epigenetic and ge-netic diversity than pathogenic strains.The monitoring of these strains should be strengthened to decrease the risk of human infection.

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.

This study was aimed at understanding the etiological and genetic characteristics of Yersinia enterocolica isolated in Jiangsu Province between 2005 and 2019.All 110 identified strains of Y.enterocolica were from patients with foodborne diar-rhea in Jiangsu Province,or from pigs,dogs,cattle,sheep,poultry,flies,or food.Virulence genes,biological serotypes,drug resistance,multilocus sequence typing(MLST),and core genome multilocus sequence typing(cgMLST)based on whole-genome sequencing were performed.The strains included 27 pathogenic strains(24.5％)and 83 non-pathogenic strains(75.5％).Non-pathogenic strains accounted for a high proportion,particularly among strains from patients(15/16,93.8％).The biological serotypes of pathogenic strains were mainly type 3/O∶3(26/27,96.3％).Non-pathogenic strains included 1A/O∶8 type(23/83,27.7％),1 A/O∶5 type(14/83,16.9％),and the other four biological serotypes(excluding unknown se-rotypes).Pathogenic strains were dominated by type 3/O∶3(26/27,96.3％),and more than 80％of these strains were sensi-tive to 19 antibiotic types.Whole-genome sequencing indicated that the pathogenic strains were all ST135 type,whereas the non-pathogenic strains were more diverse and scattered.HierCC clustering analysis grouped all strains into three clus-ters:pathogenic strains were in one cluster,and strains from patients were found in all three clusters.In conclusion,the Y.enterocolica strains from patients were primarily non-patho-genic.Non-pathogenic strains showed richer epigenetic and ge-netic diversity than pathogenic strains.The monitoring of these strains should be strengthened to decrease the risk of human infection.

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 investigate the influence of extending the waiting time on tumor regression after neoadjuvant chemoradiology (nCRT) in patients with locally advanced rectal cancer (LARC). Methods: Clinicopathological data from 728 LARC patients who completed nCRT treatment at the First Affiliated Hospital, Naval Medical University from January 2012 to December 2021 were collected for retrospective analysis. The primary research endpoint was the sustained complete response (SCR). There were 498 males and 230 females, with an age (M(IQR)) of 58 (15) years (range: 22 to 89 years). Logistic regression models were used to explore whether waiting time was an independent factor affecting SCR. Curve fitting was used to represent the relationship between the cumulative occurrence rate of SCR and the waiting time. The patients were divided into a conventional waiting time group (4 to <12 weeks, n=581) and an extended waiting time group (12 to<20 weeks, n=147). Comparisons regarding tumor regression, organ preservation, and surgical conditions between the two groups were made using the t test, Wilcoxon rank sum test, or χ² test as appropriate. The Log-rank test was used to elucidate the survival discrepancies between the two groups. Results: The SCR rate of all patients was 21.6% (157/728). The waiting time was an independent influencing factor for SCR, with each additional day corresponding to an OR value of 1.010 (95%CI: 1.001 to 1.020, P=0.031). The cumulative rate of SCR occurrence gradually increased with the extension of waiting time, with the fastest increase between the 9^th to <10^th week. The SCR rate in the extended waiting time group was higher (27.9%(41/147) vs. 20.0%(116/581), χ²=3.901, P=0.048), and the organ preservation rate during the follow-up period was higher (21.1%(31/147) vs. 10.7%(62/581), χ²=10.510, P=0.001). The 3-year local recurrence/regrowth-free survival rates were 94.0% and 91.1%, the 3-year disease-free survival rates were 76.6% and 75.4%, and the 3-year overall survival rates were 95.6% and 92.2% for the conventional and extended waiting time groups, respectively, with no statistical differences in local recurrence/regrowth-free survival, disease-free survival and overall survival between the two groups (χ²=1.878, P=0.171; χ²=0.078, P=0.780; χ²=1.265, P=0.261). Conclusions: An extended waiting time is conducive to tumor regression, and extending the waiting time to 12 to <20 weeks after nCRT can improve the SCR rate and organ preservation rate, without increasing the difficulty of surgery or altering the oncological outcomes of patients.