The aim of this study is to investigate the inhibitory effects and mechanism of three or-ganic acids,including formic acid(FA),butyric acid(BA)and lactic acid(LA),on the pathogenic-ity of Salmonella enteritidis(SE),Escherichia coli(EC)and Staphylococcus aureus(SA).The growth of pathogens was detected by Minimum Inhibitory Concentration(MIC)and Oxford Cup antimicrobial zone assays.The motility of pathogens was detected by soft agar plate method,and the biofilm of pathogens was detected by crystal violet staining.Quantitative real-time polymerase chain reaction(qRT-PCR)was used to measure the expression levels of genes related to the patho-genicity of SE.The results showed that FA and BA significantly inhibited the growth of SE,EC and SA,and FA had a superior inhibitory effect on EC(MIC:0.25 g/L;inhibition zone:20.0 mm)and SA(MIC:0.5 g/L;inhibition zone:25.0 mm).In addition,the three organic acids significantly inhibited the motility of SE,EC and SA as accessed by swimming and swarming assays,and FA showed the best inhibition effect.Besides,the three organic acids,especially FA,markedly inhibited the biofilm formation of SE,EC and SA.Finally,our results showed that the three organic acids in-hibited the expression of the main virulence genes encoded by SPI-1(InvA,InvF,SopE,SopB,SipB,HilA and SipA),SPI-2(SopD2),pili-related genes(FliF,LpfA,SefA and FimF)and flagellum-related genes(FlhD,FliC and FliD)of SE.This study demonstrates that FA,BA,and LA significantly inhibited the growth and pathogenicity of the four pathogens,among which FA showed the most obvious effect on inhibiting the growth,motility,biofilm formation and virulence gene expression.Our study provided a theoretical basis for the application of organic acids in the field of animal husbandry.

Purpose To analyze and compare the impact of incorporating molecular classification into the new FI-GO(2023)staging system for endometrial cancer(EC).Methods A retrospective analysis was conducted on 332 ca-ses of EC diagnosed and molecular subtyped by Department of Pathology Tianjin Central Hospital of Gynecology Obstet-rics in 2023.All cases were staged according to the FIGO(2023)staging criteria for EC.Results The median age of the 332 EC patients was 56 years(range:27-76 years).Molecular subtypes included 30 POLE mutation(POLE-mut),80 mismatch repair deficiency(MMRd),194 no specific molecular profile(NSMP),and 28 p53 abnormal(p53abn).Significant differences were observed among the four molecular subtypes regarding age,FIGO stage,patho-logical type,and lymph node metastasis rate(P＜0.05).However,no significant differences were found in the depth of myometrial invasion or lymphovascular space invasion.In the POLEmut group,19 cases(63.33％)were of non-ag-gressive histological types and 11(36.67％)were aggressive.After incorporating molecular subtyping,all 11 stage Ⅱ patients were downgraded to stage Ⅰ AmPOLEmut,increasing the proportion of stage Ⅰ patients from 62.07％to 100％.In the p53abn group,9 cases(32.14％)were non-aggressive and 19(67.86％)were aggressive.Molecular integra-tion led to the upstaging of 4 stage Ⅰ patients with myometrial invasion to stage Ⅱ Cmp53abn,increasing the proportion of stage Ⅱ patients from 34.61％to 50％.Conclusion Molecular subtypes p53abn and POLEmut are associated with distinct alterations in EC staging,specifically leading to tumor upstaging or downstaging.Our findings underscore the critical importance of comprehensive molecular subtyping in EC staging,as it refines prognostic risk stratification and provides valuable guidance for adjuvant treatment decisions.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

The aim of this study is to investigate the inhibitory effects and mechanism of three or-ganic acids,including formic acid(FA),butyric acid(BA)and lactic acid(LA),on the pathogenic-ity of Salmonella enteritidis(SE),Escherichia coli(EC)and Staphylococcus aureus(SA).The growth of pathogens was detected by Minimum Inhibitory Concentration(MIC)and Oxford Cup antimicrobial zone assays.The motility of pathogens was detected by soft agar plate method,and the biofilm of pathogens was detected by crystal violet staining.Quantitative real-time polymerase chain reaction(qRT-PCR)was used to measure the expression levels of genes related to the patho-genicity of SE.The results showed that FA and BA significantly inhibited the growth of SE,EC and SA,and FA had a superior inhibitory effect on EC(MIC:0.25 g/L;inhibition zone:20.0 mm)and SA(MIC:0.5 g/L;inhibition zone:25.0 mm).In addition,the three organic acids significantly inhibited the motility of SE,EC and SA as accessed by swimming and swarming assays,and FA showed the best inhibition effect.Besides,the three organic acids,especially FA,markedly inhibited the biofilm formation of SE,EC and SA.Finally,our results showed that the three organic acids in-hibited the expression of the main virulence genes encoded by SPI-1(InvA,InvF,SopE,SopB,SipB,HilA and SipA),SPI-2(SopD2),pili-related genes(FliF,LpfA,SefA and FimF)and flagellum-related genes(FlhD,FliC and FliD)of SE.This study demonstrates that FA,BA,and LA significantly inhibited the growth and pathogenicity of the four pathogens,among which FA showed the most obvious effect on inhibiting the growth,motility,biofilm formation and virulence gene expression.Our study provided a theoretical basis for the application of organic acids in the field of animal husbandry.

Purpose To analyze and compare the impact of incorporating molecular classification into the new FI-GO(2023)staging system for endometrial cancer(EC).Methods A retrospective analysis was conducted on 332 ca-ses of EC diagnosed and molecular subtyped by Department of Pathology Tianjin Central Hospital of Gynecology Obstet-rics in 2023.All cases were staged according to the FIGO(2023)staging criteria for EC.Results The median age of the 332 EC patients was 56 years(range:27-76 years).Molecular subtypes included 30 POLE mutation(POLE-mut),80 mismatch repair deficiency(MMRd),194 no specific molecular profile(NSMP),and 28 p53 abnormal(p53abn).Significant differences were observed among the four molecular subtypes regarding age,FIGO stage,patho-logical type,and lymph node metastasis rate(P＜0.05).However,no significant differences were found in the depth of myometrial invasion or lymphovascular space invasion.In the POLEmut group,19 cases(63.33％)were of non-ag-gressive histological types and 11(36.67％)were aggressive.After incorporating molecular subtyping,all 11 stage Ⅱ patients were downgraded to stage Ⅰ AmPOLEmut,increasing the proportion of stage Ⅰ patients from 62.07％to 100％.In the p53abn group,9 cases(32.14％)were non-aggressive and 19(67.86％)were aggressive.Molecular integra-tion led to the upstaging of 4 stage Ⅰ patients with myometrial invasion to stage Ⅱ Cmp53abn,increasing the proportion of stage Ⅱ patients from 34.61％to 50％.Conclusion Molecular subtypes p53abn and POLEmut are associated with distinct alterations in EC staging,specifically leading to tumor upstaging or downstaging.Our findings underscore the critical importance of comprehensive molecular subtyping in EC staging,as it refines prognostic risk stratification and provides valuable guidance for adjuvant treatment decisions.

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult

Objective:To investigate the drug resistance of newly diagnosed HIV-1 infected patients in Shanghai and to provide reference value for clinical antiretroviral therapy (ART).Methods:The peripheral venous blood plasma of 196 newly diagnosed HIV-1 infected patients screened according to the inclusion and exclusion criteria at the Shanghai Public Health Clinical Center from April to June 2023 was collected, HIV-1 RNA was extracted, the pol region was amplified by reverse transcription-polymerase chain reaction (RT-PCR) for sequencing, the mutation sites and ART drug resistance were analyzed.Results:The plasma of 196 newly diagnosed HIV-1 infected patients was amplified successfully in 162 cases (amplification success rate was 82.65%). The subtypes consisted of CRF07_BC(51.23%), CRF01_AE (27.78%), and others (6.79%), CRF55_01B (5.56%), B (3.70%), CRF01_AE/B (3.70%) and CRF08_BC (1.23%). The overall transmitted drug resistance rate was 7.41%, the protease inhibitors (PIs), non-nucleoside/nucleotide reverse transcriptase inhibitors (NNRTIs), nucleoside/nucleotide reverse transcriptase inhibitors (NRTIs), integrase inhibitors (INSTIs) resistance rates were 3.09%, 3.70%, 0.00% and 0.62%, respectively. The proportion of NNRTIs-related mutation sites in B (66.67%) and CRF55_01B (88.89%) was higher than that in CRF07_BC (13.25%); the proportion of NNRTIs-related mutation sites in CRF55_01B (88.89%) was higher than that in CRF01_AE (22.22%) and other subtypes (18.18%), the difference was statistically significant (all P<0.05). Multivariate logistic regression analysis showed that the probability of PIs-related mutation sites in CRF01_AE/B was 21.71 times that of CRF07_BC[odds ratio ( OR)=21.71, 95% confidence interval ( CI): 3.36-140.27, P=0.001]. Conclusions:The transmitted drug resistance among newly diagnosed HIV-1 infected patients in Shanghai is at the moderate epidemic level, mainly NNRTIs and PIs-related drug resistance, and the INSTIs resistance rate is low, the use of INSTIs in ART regimens should be considered.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective:To investigate the drug resistance of newly diagnosed HIV-1 infected patients in Shanghai and to provide reference value for clinical antiretroviral therapy (ART).Methods:The peripheral venous blood plasma of 196 newly diagnosed HIV-1 infected patients screened according to the inclusion and exclusion criteria at the Shanghai Public Health Clinical Center from April to June 2023 was collected, HIV-1 RNA was extracted, the pol region was amplified by reverse transcription-polymerase chain reaction (RT-PCR) for sequencing, the mutation sites and ART drug resistance were analyzed.Results:The plasma of 196 newly diagnosed HIV-1 infected patients was amplified successfully in 162 cases (amplification success rate was 82.65%). The subtypes consisted of CRF07_BC(51.23%), CRF01_AE (27.78%), and others (6.79%), CRF55_01B (5.56%), B (3.70%), CRF01_AE/B (3.70%) and CRF08_BC (1.23%). The overall transmitted drug resistance rate was 7.41%, the protease inhibitors (PIs), non-nucleoside/nucleotide reverse transcriptase inhibitors (NNRTIs), nucleoside/nucleotide reverse transcriptase inhibitors (NRTIs), integrase inhibitors (INSTIs) resistance rates were 3.09%, 3.70%, 0.00% and 0.62%, respectively. The proportion of NNRTIs-related mutation sites in B (66.67%) and CRF55_01B (88.89%) was higher than that in CRF07_BC (13.25%); the proportion of NNRTIs-related mutation sites in CRF55_01B (88.89%) was higher than that in CRF01_AE (22.22%) and other subtypes (18.18%), the difference was statistically significant (all P<0.05). Multivariate logistic regression analysis showed that the probability of PIs-related mutation sites in CRF01_AE/B was 21.71 times that of CRF07_BC[odds ratio ( OR)=21.71, 95% confidence interval ( CI): 3.36-140.27, P=0.001]. Conclusions:The transmitted drug resistance among newly diagnosed HIV-1 infected patients in Shanghai is at the moderate epidemic level, mainly NNRTIs and PIs-related drug resistance, and the INSTIs resistance rate is low, the use of INSTIs in ART regimens should be considered.

Objective To investigate the predictive value of white blood cell count,LDL-C and fasting blood glucose on the occur-rence of AMI in elderly patients with coronary atherosclerotic heart disease(CAD).Methods A total of 210 elderly patients with CAD were selected and divided into the AMI group as the case group and the chronic CAD group as the control group based on clinical manifes-tations and laboratory and coronary angiography results.The general data,laboratory data,coronary angiography results,and other clinical information of the two groups were retrospectively analyzed.We used the Logistic regression analysis to explore the risk factors for acute myocardial infarction in elderly CAD patients and the receiver operating characteristic curve(ROC)to evaluate the predictive efficacy of white blood cell count,LDL-C and fasting blood glucose on the occurrence of AMI in elderly CAD patients.Results Compared with the chronic CAD group,the AMI group had a higher smoking rate,white blood cell count,CRP,ALT,AST,D-D dimer,fasting blood glu-cose,total cholesterol,LDL-C and Gensini score and lower LVEF(P＜0.05).The Logistic regression analysis showed that white blood cell count(β=0.859,P＜0.001,OR=2.361),LDL-C(β=1.003,P=0.009,OR=2.728)and fasting blood glucose(β=0.495,P=0.007,OR=1.641)were independent risk factors for AMI in elderly CAD patients.The ROC curve analysis showed that when the cut-off values of fasting blood glucose,white blood cell count,and LDL-C were 4.895mmol/L,7.19 x 109/L and 2.635 mmol/L respectively,the area under the curve for predicting AMI was the largest,with values of 0.734,0.859 and 0.735.The area un-der the ROC curve of the combination of the three is 0.902.Conclusion White blood cell count,LDL-C and fasting blood glucose are associated with AMI in elderly patients with CAD.Higher levels of white blood cell count,LDL-C and fasting blood glucose indicate a higher risk of AMI.The combination of the three can serve as a more valuable predictive index.