This study was aimed at establishing a sensitive and specific sandwich ELISA detection method for Brucella.We screened monoclonal capture antibodies and detection antibodies for Brucella detection,and optimized and determined the opti-mal antibody coating time and concentration,as well as the optimal blocking solution,blocking time,and yin-yang critical val-ue.The specificity of this method was verified by examination of other bacteria prone to cross-reacting with Brucella.The sen-sitivity of the method was verified by detection of a gradient dilution of inactivated Brucella.Moreover,the sandwich ELISA detection results were compared with test tube agglutination and qPCR results.The selected capture antibody was 4A12,and the selected detection antibody was 6C12.Experimental analysis indicated that the optimal coating concentration for the 4A12 capture antibody was 5 μg/mL,and the optimal dilution ratio for the 6C12 detection antibody was 1∶2000.The optimal coating conditions were overnight at 4℃,and blocking with 5％skim milk powder for 2 hours.The established double antibody sand-wich ELISA method reacted with only Brucella but not other bacteria,thus demonstrating the method's good specificity.Inac-tivated Brucella solution was still detectable after dilution to 1 × 105 CFU/mL,thus demonstrating the method's good sensitiv-ity.The intra-and inter batch coefficients of variation were both below 10％,thus indicating the method's good repeatability.Thus,this study successfully established a dual antibody sandwich ELISA method for Brucella detection,which has good spe-cificity and sensitivity,and might provide an effective approach for the precise diagnosis and effective prevention and control of brucellosis.

Objective:To systematically review recent domestic and international literature on the use of extracorporeal membrane oxygenation (ECMO) in obstetric critical care and provide evidence-based support for clinical decision-making.Methods:Literature published between January 1, 2014, and December 31, 2024, in both Chinese and English was retrieved from databases including CNKI, Wanfang Medical Network, Chinese Medical Journal Network, PubMed, and Embase. Data on maternal age, gestational age, diagnosis, ECMO type, ECMO duration, pregnancy outcomes, and maternal and neonatal survival rates were extracted from relevant studies.Results:Among 1 306 retrieved articles, 214 met the inclusion criteria, involving a total of 355 obstetric patients who received ECMO treatment. The majority of patients (58.9%, 209/355) were treated postpartum. The most common indications for ECMO initiation included pulmonary infection (32.7%, 116/355), pulmonary embolism (24.5%, 87/355), pulmonary hypertension (12.4%, 44/355), sepsis (9.6%, 34/355), and peripartum cardiomyopathy (6.2%, 22/355). The modes of ECMO used in the obstetric population were venovenous (VV) in 49.6%(176/355) and venoarterial (VA) in 44.2%(157/355) of cases. The overall maternal survival rate was 82.0%(291/355), while the fetal/neonatal survival rate was 74.4%(264/355). Bleeding was the most common complication (35.5%, 126/355), followed by thrombosis (14.6%, 52/355) and infections related to ventilator or cannulation sites (19.2%, 68/355).Conclusions:ECMO can serve as an effective temporary organ support therapy for critically ill patients during pregnancy and the postpartum period.

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 sensitive and specific sandwich ELISA detection method for Brucella.We screened monoclonal capture antibodies and detection antibodies for Brucella detection,and optimized and determined the opti-mal antibody coating time and concentration,as well as the optimal blocking solution,blocking time,and yin-yang critical val-ue.The specificity of this method was verified by examination of other bacteria prone to cross-reacting with Brucella.The sen-sitivity of the method was verified by detection of a gradient dilution of inactivated Brucella.Moreover,the sandwich ELISA detection results were compared with test tube agglutination and qPCR results.The selected capture antibody was 4A12,and the selected detection antibody was 6C12.Experimental analysis indicated that the optimal coating concentration for the 4A12 capture antibody was 5 μg/mL,and the optimal dilution ratio for the 6C12 detection antibody was 1∶2000.The optimal coating conditions were overnight at 4℃,and blocking with 5％skim milk powder for 2 hours.The established double antibody sand-wich ELISA method reacted with only Brucella but not other bacteria,thus demonstrating the method's good specificity.Inac-tivated Brucella solution was still detectable after dilution to 1 × 105 CFU/mL,thus demonstrating the method's good sensitiv-ity.The intra-and inter batch coefficients of variation were both below 10％,thus indicating the method's good repeatability.Thus,this study successfully established a dual antibody sandwich ELISA method for Brucella detection,which has good spe-cificity and sensitivity,and might provide an effective approach for the precise diagnosis and effective prevention and control of brucellosis.

Objective:To systematically review recent domestic and international literature on the use of extracorporeal membrane oxygenation (ECMO) in obstetric critical care and provide evidence-based support for clinical decision-making.Methods:Literature published between January 1, 2014, and December 31, 2024, in both Chinese and English was retrieved from databases including CNKI, Wanfang Medical Network, Chinese Medical Journal Network, PubMed, and Embase. Data on maternal age, gestational age, diagnosis, ECMO type, ECMO duration, pregnancy outcomes, and maternal and neonatal survival rates were extracted from relevant studies.Results:Among 1 306 retrieved articles, 214 met the inclusion criteria, involving a total of 355 obstetric patients who received ECMO treatment. The majority of patients (58.9%, 209/355) were treated postpartum. The most common indications for ECMO initiation included pulmonary infection (32.7%, 116/355), pulmonary embolism (24.5%, 87/355), pulmonary hypertension (12.4%, 44/355), sepsis (9.6%, 34/355), and peripartum cardiomyopathy (6.2%, 22/355). The modes of ECMO used in the obstetric population were venovenous (VV) in 49.6%(176/355) and venoarterial (VA) in 44.2%(157/355) of cases. The overall maternal survival rate was 82.0%(291/355), while the fetal/neonatal survival rate was 74.4%(264/355). Bleeding was the most common complication (35.5%, 126/355), followed by thrombosis (14.6%, 52/355) and infections related to ventilator or cannulation sites (19.2%, 68/355).Conclusions:ECMO can serve as an effective temporary organ support therapy for critically ill patients during pregnancy and the postpartum period.

The cobalt sulphide nickel ternary material(NiCo2S4)prepared by hydrothermal method in this work was combined with multi-walled carbon nanotubes(MWCNT)for constructing an electrochemical sensor for quantitative detection of rutin.The morphology and crystal of the electrochemical materials were characterized by scanning electron microscopy and X-ray diffractometer,and the electrochemical behavior of the glassy carbon electrode(GCE)modified with NiCo2S4/MWCNT composites was investigated.The experimental results showed that the electrochemical redox process of two electrons and two protons occurred on the surface of modified electrode NiCo2S4/MWCNT/GCE.Under the optimized conditions,the linear range for detection of rutin by square-wave voltammetry(SWV)using this sensor was 0.06-14.8 μmol/L and the detection limit was 14.3 nmol/L.The electrochemical sensor was sensitive,simple and low-cost,with good reproducibility and reliable stability,and could be used for detection of rutin in real samples such as compound rutin tablets and color chrysanthemi tablets,with spiked recoveries of 99.5%-102.0%.

Objective To evaluate the management and indicators of pathogen detection before antimicrobial treat-ment for inpatients in second level and above medical institutions(MIs)in Guangdong Province,and provide direc-tion and decision-making basis for the improvement of pathogen detection quality in the region.Methods The ma-nagement status,information system functions,and pathogen detection rate indicators of secondary and above MIs in 21 cities in Guangdong Province was surveyed through online questionnaire surveys and system submission.A baseline survey on sentinel monitoring MIs was conducted from July 15th to August 8th,2023.From November 7th to 30th,a baseline survey on non-sentinel monitoring MIs was launched.Surveys on indicator information of all MIs were completed from January 15th to 30th,2024.Results A total of 265 MIs were surveyed,and the proportions of establishing special working groups(83.98％),developing special action improvement plans(79.01％),estab-lishing pathogen detection rate management systems(91.71％),and developing management assessment plans(76.80％)of tertiary MIs were all higher than that of secondary MIs,differences were all statistically significant(all P＜0.05).The proportion of tertiary MIs with various information system functions was higher than that of secondary MIs(all P＜0.05).The pathogen detection rate(61.07％)before antimicrobial treatment and health-care-associated infection(HAI)diagnosis-related pathogen detection rate(88.00％)of inpatients in tertiary MIs were both higher than those in secondary MIs(both P＜0.05).Among different types of MIs,pathogen detection rate before antimicrobial treatment of inpatients in maternal and child health MIs was higher than that in other types of MIs.HAI diagnosis-related pathogen detection rate in other specialized hospitals was the highest,and pathogen detection rate before combined use of key antimicrobial treatment in traditional Chinese medicine hospitals was the lowest,differences were all statistically significant(all P＜0.05).Conclusion Tertiary MIs have more advantages in management strategies and information technology construction than secondary MIs,secondary MIs need more guidance and support.Monitoring and analysis of pathogen detection rate indicators in MIs of different levels and types should be strengthened through special actions.

The objective of this study was to observe the effect of Astragalus membranaceus on high sugar-induced Caenorhabditis elegans, and to explore its mechanism of action. UPLC-MS method was used to identify the components of Astragalus membranaceus. A high glucose model was established by using Caenorhabditis elegans as a model organism, and the effects of Astragalus membranaceus on body length, body bending, swallowing frequency, and reactive oxygen species (ROS) of the nematode were determined; the effects of Astragalus membranaceus on the expression of mRNA of genes related to the protein skinhead-1 (SKN-1) signaling pathway were examined by using the real-time fluorescence quantitative polymerase chain reaction (PCR). The results showed that compared with the normal group, the nematode body length, body bending, and swallowing frequency expression were significantly reduced and the ROS content in the body was significantly increased in the high glucose state; after the administration of Astragalus membranaceus, the body length, body bending, and swallowing frequency expression were significantly increased, and the ROS content was significantly reduced (P < 0.01). Compared with the normal group, SKN-1, superoxide dismutas-3 (SOD-3), glutathione S-transferase 4 (GST-4), and glutathione S-transferase 7 (GST-7) expression were significantly decreased in Caenorhabditis elegans in the high glucose condition; SKN-1, SOD-3, GST-4, and GST-7 expression were significantly increased after administration of Astragalus membranaceus (P < 0.01). In the present study, we demonstrated that Astragalus membranaceus has an effect on high glucose-induced Caenorhabditis elegans nematodes, and its mechanism of action may be through the modulation of the SKN-1 signaling pathwaym in order to ameliorate the oxidative stress response induced by high glucose.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.