This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.

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.

This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.

Objective To explore the medication rules of Professor HUANG Li for the treatment of recurrent angina pectoris after percutaneous coronary intervention(PCI)for coronary heart disease by data mining method.Methods The prescriptions for effective cases of recurrent angina pectoris after PCI for coronary heart disease treated by Professor HUANG Li in the outpatient department of China-Japan Friendship Hospital were collected.SPSS Statistics 26.0 software and SPSS Modeler 18.0 software were used for frequency statistics,analysis of the therapeutic actions,properties,flavors and meridian tropism of the prescribed herbs as well as association rule analysis,cluster analysis and factor analysis of the herbs.Results A total of 344 Chinese medicine prescriptions were obtained,involving 209 herbs,with a cumulative frequency of 5 874 times.The top 30 Chinese medicinals were named as the high-frequency Chinese medicines,and the herbs with the frequency over 100 times in descending order were Astragali Radix,Chuanxiong Rhizoma,Puerariae Lobatae Radix,Rhodiolae Crenulatae Radix et Rhizoma,Notoginseng Radix et Rhizoma,Poria,Dalbergiae Odoriferae Lignum,Atractylodis Macrocephalae Rhizoma,Curcumae Rhizoma,Sparganii Rhizoma,Dioscoreae Rhizoma,Citri Reticulatae Pericarpium,Pinelliae Rhizoma Praeparatum,Codonopsis Radix,and Glycyrrhizae Radix et Rhizoma.The high-frequency Chinese medicinals were mostly classified as blood-activating and stasis-resolving drugs and qi-replenishing drugs.The medicinal properties of the drugs were characterized by being warm,mild,or cold,the flavors were predominated by being sweet,pungent or bitter,and the medicinals usually had the meridian tropism of the spleen,lung and liver meridians.A total of 30 association rules were mined out,cluster analysis yielded 5 herbal groups,and factor analysis yielded 11 groups of common factors.Conclusion For the treatment of cardiovascular diseases,Professor HUANG Li follows the theory of qi,blood and water,and especially pays more attention to the ascending and descending of qi movement.For qi deficiency and blood stasis contribute to the basic pathogenesis of recurrent angina pectoris after PCI,the therapy of benefiting qi,activating blood and removing stasis is recommended.Moreover,the simultaneous regulation of five zang-organs and simultaneous use of the cold and warm herbs are performed,and the herbs of benefiting qi and invigorating spleen,resolving phlegm and inducing diuresis,tranquilizing mind,promoting qi and dissipating masses,and activating blood to eliminate stasis are used for adjuvant therapy.

Objective To explore the current status of H.pylori infection in the natural population of Sanya City,analyze its influencing factors,and provide a reference basis for the prevention and control of H.pylori infection.Methods A total of 677 residents from four districts of Sanya City were selected by overall stratified random sampling method,and were subjected to urea 14C breath test and questionnaire survey to calculate the positive rate of H.pylori in the natural population and analyze the influencing factors of H.pylori infection.Results A total of 606 residents were included,and the number of H.pylori positive detections was 261,with a positive detection rate of 38.5％.Among them,different ethnicity,marital status,smoking,eating vegetables and fruits,and literacy level were associated with H.pylori infection(P＜0.05);gender,age,BMI,alcohol consumption,drinking water source,betel quid chewing,and the number of cohabitants were not significantly associated with H.pylori infection(P＞0.05).Family infection was an independent risk factor for H.pylori infection in the natural population of Sanya City,and Li ethnicity,frequent consumption of fruits and vegetables,and college and higher education level were independent protective factors for H.pylori infection in the natural population of Sanya City.Conclusion The rate of H.pylori infection in the natural population of Sanya City is lower than the national average.Consuming more fruits and vegetables and improving the awareness of hygiene protection are conducive to the prevention of H.pylori infection;and the promotion of the family and related members with the same examination and treatment is important to avoid aggregation of infection within the family.

AIM To study the chemical constituents from the heartwood of Dalbergia cochinchinensis Pierre ex Laness.METHODS The 70%ethanol extract from the heartwood of D.cochinchinensis was isolated and purified by silica gel,Sephadex LH-20 and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULT Twenty-three compounds were isolated and identified as 3-O-acetylbetulin aldehyde(1),2,2'-oxybis(1,4-di-tert-butylbenzene)(2),ethyl 4-hydroxybenzoate(3),1-acetyl-β-carboline(4),7-hydroxydihydroflavone(5),palmic acid(6),hexadeca-4,7-diene(7),linoleic acid(8),methyl 4-hydroxybenzoate(9),2-(2-hydroxy-1-methyl-2-phenythyl)-4,5-dimethoxyphenol(10),2-methoxy-3-hydroxyxanthone(11),dibutyl terephthalate(12),6,4'-dihydroxy-7-methoxyflavan(13),pteroyanin G(14),benzoic acid,4-ethoxy-2-methoxy-,methyl ester(15),liquiritigenin(16),4,2',5'-trihydroxy-4'-methoxychalcone(17),7-hydroxy-6-methoxyflavone(18),6,4'-dihydroxy-7-methoxyflavone(19),2'-hydroxyformonetin(20),3'-methoxyformonetin(21),3'-hydroxyformonetin(22),6,7,4'-trihydroxyflavanone(23).CONCLUSION Compounds 2,4 are isolated from genus Dalbergia for the first time.Compounds 6-8,19,21 are isolated from this plant for the first time.

Applying Chinese medicine (CM) is an important strategy for malignant tumor treatment in China. One of the significant characteristics of CM is to treat diseases based on syndrome differentiation. For Western medicine, it is of important clinical significance to formulate guidelines for the diagnosis and treatment of cancer patients based on the characteristics of disease differentiation. In Chinese clinical practice, the combination of disease differentiation and syndrome differentiation is an important feature for cancer treatment in the past. Currently, molecular profiling and genomic analysis-based precision medicine optimizes the anticancer drug design and holds the greatest success in treating cancer patients. Therefore, we want to know which populations of cancer patients can benefit more from CM treatment if the theory of precision medicine is applied to CM clinical practice. So, we developed a novel diagnostic and therapeutic strategy "disease-syndrome differentiation-genomic profiling-prescriptions" for cancer patients by CM syndrome differentiation and precision medicine. As a result, this strategy has greatly enhanced the anti-tumor efficacy of CM and improved clinical outcomes for cancer patients with some gene mutations. Our idea will hopefully establish a novel approach for the inheritance and innovation of CM.
Antineoplastic Agents ; Drugs, Chinese Herbal/therapeutic use* ; Humans ; Medicine, Chinese Traditional ; Neoplasms/therapy* ; Precision Medicine ; Syndrome

BACKGROUND: It has been a global trend that increasing complications related to pelvic floor surgeries have been reported over time. The current study aimed to outline the development of Chinese pelvic floor surgeries related to pelvic organ prolapse (POP) over the past 14 years and investigate the potential influence of enhanced monitoring conducted by the Chinese Association of Urogynecology since 2011. METHODS: A total of 44,594 women with POP who underwent pelvic floor surgeries between October 1, 2004 and September 30, 2018 were included from 22 tertiary academic medical centers. The data were reported voluntarily and obtained from a database. We compared the proportion of each procedure in the 7 years before and 7 years after September 30, 2011. The data were analyzed by performing Z test (one-sided). RESULTS: The number of different procedures during October 1, 2011-September 30, 2018 was more than twice that during October 1, 2004-September 30, 2011. Regarding pelvic floor surgeries related to POP, the rate of synthetic mesh procedures increased from 38.1% (5298/13,906) during October 1, 2004-September 30, 2011 to 46.0% (14,107/30,688) during October 1, 2011-September 30, 2018, whereas the rate of non-mesh procedures decreased from 61.9% (8608/13,906) to 54.0% (16,581/30,688) (Z = 15.53, P < 0.001). Regarding synthetic mesh surgeries related to POP, the rates of transvaginal placement of surgical mesh (TVM) procedures decreased from 94.1% (4983/5298) to 82.2% (11,603/14,107) (Z = 20.79, P < 0.001), but the rate of laparoscopic sacrocolpopexy (LSC) procedures increased from 5.9% (315/5298) to 17.8% (2504/14,107). CONCLUSIONS: The rate of synthetic mesh procedures increased while that of non-mesh procedures decreased significantly. The rate of TVM procedures decreased while the rate of LSC procedures increased significantly. TRIAL REGISTRATION NUMBER NCT03620565, https://register.clinicaltrials.gov.
China ; Female ; Gynecologic Surgical Procedures/adverse effects* ; Humans ; Pelvic Floor/surgery* ; Pelvic Organ Prolapse/surgery* ; Surgical Mesh/adverse effects* ; Treatment Outcome ; Vagina

Objective:To quickly analyze and identify the components in raw and wine-processed products of Polygonatum cyrtonema （PC） dried rhizomes by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF-MS）， and then find out the differential components before and after processing. Method:The ACQUITY UPLC BEH C₁₈ column （2.1 mm×100 mm， 1.8 μm） was used with 0.1% formic acid aqueous solution-acetonitrile as the mobile phase for gradient elution at a flow rate of 0.25 mL·min^-1. Electrospray ionization was selected for collection and detection in positive and negative ion modes， and the data were analyzed by PeakView 1.2.0.3. According to the retention time， accurate relative molecular weight and fragmentation ion information provided by MS， and combined with the reference substance and literature， the components were identified. After normalized treatment， the MS data of each sample were analyzed with principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA）， and then the differential components before and after processing were screened according to the principle that variable importance in the projection （VIP） value was >1. Result:A total of 38 components were identified from raw and wine-processed products of PC dried rhizomes， including 15 steroidal saponins， 6 alkaloids， 3 flavonoids， 2 amino acids， 2 organic acids and 10 others. The results of PCA and OPLS-DA showed that there were significant differences in the contents of components in PC dried rhizomes before and after processing， and 16 differential components such as kingianoside Z， disporopsin and linoleic acid were screened. Conclusion:UPLC-Q-TOF-MS technique can accurately and comprehensively identify the components in PC dried rhizomes， these components are mainly steroidal saponins， flavonoids and alkaloids. It takes a great difference in the contents of components before and after processing， and transformation of the same category components is the main reason for the differences of raw and wine-processed products， which will provide reference for the researches on material basis and processing chemistry of PC dried rhizomes.