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.

Ubiquitination, a diverse post-translational modification, is carried out by enzymes including E1-activating enzymes, E2-conjugating enzymes, E3 ligases, and deubiquitinating enzymes (DUBs). Ubiquitin itself possesses 7 lysine residues and N-terminal methionine, allowing for the formation of polyubiquitin chains with different lengths and linkages. These chains exhibit various topologies that can be recognized by proteins containing ubiquitin-binding domain, thereby transmitting distinct cellular signals. To unravel the physiological mechanisms associated with ubiquitin, numerous ubiquitin probes have been developed. This review provides an overview of recent advancements in the field of ubiquitin probes, focusing on activity-based and affinity-based probes. Activity-based probes are designed to covalently bind to DUBs, E1s, or E3s, enabling the identification and characterization of these enzymes. Affinity-based probes, on the other hand, selectively bind to ubiquitin-binding domains, facilitating the identification of proteins that interact with ubiquitin. Moreover, this review comprehensively discusses the synthetic methodologies employed for the acquisition of ubiquitin probes. These includes meticulous discussions on the synthesis of individual monomeric modules, the establishment of isopeptide linkages, as well as the incorporation of reactive functional groups. Additionally, the review explores the emerging area of cell-penetrating ubiquitin probes and highlights their latest applications in living cells. These probes incorporate cell-penetrating peptides to enable their internalization into cells, allowing for direct visualization and manipulation of ubiquitin-modified proteins within their native environment. Overall, this review offers insights into the design, synthesis, and applications of ubiquitin probes, highlighting their significance in elucidating ubiquitin-mediated cellular processes.

Cardiac cephalalgia is a rare disease caused by underlying coronary artery disease that presents as headache with or without chest symptoms.Headache symptoms are often caused by referred pain,increased intracranial pressure and release of large amounts of pain-causing neurochemicals due to myocardial ischemia,and cortical hypoperfusion.Due to the low overall prevalence of the disease,the lack of chest pain typical of coronary heart disease,and the fact that it may be difficult to distinguish from headaches caused by neurological diseases,accurate diagnosis and treatment of the disease are often delayed.We report a case of acute coronary syndrome with headache only.Revascularization was achieved through percutaneous coronary intervention therapy,followed by standard secondary prevention pharmacotherapy.Follow-up six months postoperatively showed a significant improvement in exercise tolerance,with no further headache episodes.The purpose is to improve the understanding of patients with cardiac cephalalgia,with a view to early identification and timely intervention,and ultimately improve the symptoms and prognosis.

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.

AIM To establish a quantitative analysis of multi-components by single-marker (QAMS) method for the simultaneous content determination of synephrine,syringin,magnoflorine,narirutin,naringoside,hesperridin,neoesperridin,limonin,naringenin,honokiol and magnolol in different compatibility ratios of Fructus Aurantii Immaturus-Magnoliae Officinalis Cortex drug pair.METHODS The ratios of 1:1,1:2 and 2:1 were adopted in the compatibility of Fructus Aurantii Immaturus and Magnoliae Officinalis Cortex,respectively.The analysis was performed on a 30℃ thermostatic Agilent 5TC-C18 column (4.6 mm × 250 mm,5μm),with the mobile phase comprising of methanol-0.1％ phosphoric acid flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelength was set at 280 nm.Hesperidin was used as an internal standard to calculate the relative correction factors of the other ten constituents,after which the content determination was made.RESULTS Eleven constituents showed good linear relationships within their own ranges (r≥0.9990),whose average recoveries were 97.04％-99.45％ with the RSDs of 1.22％-2.48％.The result obtained by QAMS approximated those obtained by external standard method.CONCLUSION This simple,accurate and reproducible method can be used for the quality control of Fructus Aurantii Immaturus-Magnoliae Officinalis Cortex drug pair.The extraction of various constituents is more favourable when the compatibility ratio of two medicinal materials is 1∶1.

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.

AIM To establish a quantitative analysis of multi-components by single-marker (QAMS) method for the simultaneous content determination of synephrine,syringin,magnoflorine,narirutin,naringoside,hesperridin,neoesperridin,limonin,naringenin,honokiol and magnolol in different compatibility ratios of Fructus Aurantii Immaturus-Magnoliae Officinalis Cortex drug pair.METHODS The ratios of 1:1,1:2 and 2:1 were adopted in the compatibility of Fructus Aurantii Immaturus and Magnoliae Officinalis Cortex,respectively.The analysis was performed on a 30℃ thermostatic Agilent 5TC-C18 column (4.6 mm × 250 mm,5μm),with the mobile phase comprising of methanol-0.1％ phosphoric acid flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelength was set at 280 nm.Hesperidin was used as an internal standard to calculate the relative correction factors of the other ten constituents,after which the content determination was made.RESULTS Eleven constituents showed good linear relationships within their own ranges (r≥0.9990),whose average recoveries were 97.04％-99.45％ with the RSDs of 1.22％-2.48％.The result obtained by QAMS approximated those obtained by external standard method.CONCLUSION This simple,accurate and reproducible method can be used for the quality control of Fructus Aurantii Immaturus-Magnoliae Officinalis Cortex drug pair.The extraction of various constituents is more favourable when the compatibility ratio of two medicinal materials is 1∶1.

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.