This study was aimed at investigating differentially expressed genes(DEGs)in Clonorchis sinensis(C.sinensis)meta-cercariae and newly excysted juveniles(NEJs)cultured in vitro for 1 hour or 3 hours,through transcriptomic analysis.Our objective was to explore the mechanisms underlying host invasion.Metacercariae were digested and isolated from Pseudorasbora parva infected with C.sinensis.The metacercariae excysted and developed into NEJs in vitro.Subsequently,the mRNA of metacercariae and NEJs cultured in vitro for 1 hour or 3 hours was extracted for transcriptomic sequencing analysis to screen for DEGs,and to conduct GO and KEGG analyses.A protein-protein interaction network(PPI)was constructed to identify hub genes.A total of 1 218 DEGs were de-tected.The main enriched GO terms of DEGs included transcription regulator activity and gated channel activity(primarily K+).The KEGG pathways significantly enriched in DEGs included cholesterol metabolism,lysosome,synthesis,secretion,and action of para-thyroid hormone.ZFAND4-2,BIRC6,and other genes were screened and identified as hub genes through PPI network analysis.Addi-tionally,abundant differential expression of cathepsin-related genes,including Cathepsin L and Cathepsin F,were observed before and after excystment in C.sinensis.Therefore,significant transcriptional level changes occurred in the metacercariae of C.sinensis be-fore and after excystation,and enrichment was observed primarily in signaling pathways,such as activation of growth and material me-tabolism,that regulate parasite growth and development.Meanwhile,biological events conducive to parasite invasion,migration,and adhesion were triggered.

Objective:To explore the clinical application value of artificial intelligence（AI）-assisted training in enhancing the accuracy of nuchal translucency（NT）identification，standardization of measurement，and diagnostic efficacy for abnormalities among ultrasound residents.Methods:A retrospective collection of 300 standard fetal NT ultrasound images was conducted at the Center for Medical Ultrasound，Suzhou Hospital Affiliated of Nanjing Medical University from January 2018 to June 2024. The AI model performed NT measurements and diagnoses once. Four sonographers of different seniority levels（including two resident physicians）independently conducted NT measurements and diagnoses twice. Prior to the experiment，the middle-age and resident sonographers had uniformly completed traditional theory training. Following the first independent measurements，the two resident sonographers received additional AI-assisted training，after which all 4 sonographers performed the second independent measurements. A fetal medicine expert evaluated blindly all the results and compared the differences in NT recognition accuracy，measurement standard rate and diagnosis accuracy between the middle-age sonographer（traditional training only）and two resident sonographers（traditional + AI-assisted training）.Results:For the middle-aged sonographer who only received traditional lecture-based training，the accuracy of NT recognition，standardization rate of measurement，or diagnostic accuracy were not significantly improved befroe and after the training，and the diffrence was not statistically significant（ χ2=0.189，1.887，0.326；all P>0.05）. In contrast，the second-year resident（Resident 2）and first-year resident（Resident 1），who received both traditional lecture-based training and AI training，demonstrated some improvements in the accuracy of NT measurement site recognition，though the differences were not statistically significant（ χ2=1.301，2.418；all P>0.05）. However，both residents did significant improvements in the standardization rate of NT measurement（ χ2=25.768，17.035；all P<0.05）. In terms of diagnostic accuracy，Resident 1 did significant improvement（ χ2=10.180， P<0.05），while Resident 2 also did some improvement，though the difference was not statistically significant（ χ2=2.573， P>0.05）. Conclusions:The AI-assisted training system enhances the ability of ultrasound resident sonographers to recognize，measure，and diagnose NT，providing a novel and efficient training model for standardized residency training in ultrasound specialties.

This study was aimed at investigating differentially expressed genes(DEGs)in Clonorchis sinensis(C.sinensis)meta-cercariae and newly excysted juveniles(NEJs)cultured in vitro for 1 hour or 3 hours,through transcriptomic analysis.Our objective was to explore the mechanisms underlying host invasion.Metacercariae were digested and isolated from Pseudorasbora parva infected with C.sinensis.The metacercariae excysted and developed into NEJs in vitro.Subsequently,the mRNA of metacercariae and NEJs cultured in vitro for 1 hour or 3 hours was extracted for transcriptomic sequencing analysis to screen for DEGs,and to conduct GO and KEGG analyses.A protein-protein interaction network(PPI)was constructed to identify hub genes.A total of 1 218 DEGs were de-tected.The main enriched GO terms of DEGs included transcription regulator activity and gated channel activity(primarily K+).The KEGG pathways significantly enriched in DEGs included cholesterol metabolism,lysosome,synthesis,secretion,and action of para-thyroid hormone.ZFAND4-2,BIRC6,and other genes were screened and identified as hub genes through PPI network analysis.Addi-tionally,abundant differential expression of cathepsin-related genes,including Cathepsin L and Cathepsin F,were observed before and after excystment in C.sinensis.Therefore,significant transcriptional level changes occurred in the metacercariae of C.sinensis be-fore and after excystation,and enrichment was observed primarily in signaling pathways,such as activation of growth and material me-tabolism,that regulate parasite growth and development.Meanwhile,biological events conducive to parasite invasion,migration,and adhesion were triggered.

Objective:To explore the clinical application value of artificial intelligence（AI）-assisted training in enhancing the accuracy of nuchal translucency（NT）identification，standardization of measurement，and diagnostic efficacy for abnormalities among ultrasound residents.Methods:A retrospective collection of 300 standard fetal NT ultrasound images was conducted at the Center for Medical Ultrasound，Suzhou Hospital Affiliated of Nanjing Medical University from January 2018 to June 2024. The AI model performed NT measurements and diagnoses once. Four sonographers of different seniority levels（including two resident physicians）independently conducted NT measurements and diagnoses twice. Prior to the experiment，the middle-age and resident sonographers had uniformly completed traditional theory training. Following the first independent measurements，the two resident sonographers received additional AI-assisted training，after which all 4 sonographers performed the second independent measurements. A fetal medicine expert evaluated blindly all the results and compared the differences in NT recognition accuracy，measurement standard rate and diagnosis accuracy between the middle-age sonographer（traditional training only）and two resident sonographers（traditional + AI-assisted training）.Results:For the middle-aged sonographer who only received traditional lecture-based training，the accuracy of NT recognition，standardization rate of measurement，or diagnostic accuracy were not significantly improved befroe and after the training，and the diffrence was not statistically significant（ χ2=0.189，1.887，0.326；all P>0.05）. In contrast，the second-year resident（Resident 2）and first-year resident（Resident 1），who received both traditional lecture-based training and AI training，demonstrated some improvements in the accuracy of NT measurement site recognition，though the differences were not statistically significant（ χ2=1.301，2.418；all P>0.05）. However，both residents did significant improvements in the standardization rate of NT measurement（ χ2=25.768，17.035；all P<0.05）. In terms of diagnostic accuracy，Resident 1 did significant improvement（ χ2=10.180， P<0.05），while Resident 2 also did some improvement，though the difference was not statistically significant（ χ2=2.573， P>0.05）. Conclusions:The AI-assisted training system enhances the ability of ultrasound resident sonographers to recognize，measure，and diagnose NT，providing a novel and efficient training model for standardized residency training in ultrasound specialties.

Objective:To investigate the relationship between the virulence and the carbapenem resistance phenotype of Klebsiella pneumoniae from blood infection,and to identify carbapenem-resistant and hypervirulent Klebsiella pneumoniae(CR-HVKP)strains.Methods:A total of 192 Klebsiella pneumoniae strains were isolated from blood culture of patients with bloodstream infections from 2016 to 2019,of which 96 isolates were carbapenem-resistant Klebsiella pneumoniae(CRKP)and 96 were carbapenem-sensitive Klebsiella pneumoniae(CSKP).The drug susceptibility was detected by VITEK-2 automatic microbial analyzer;carbapenemase genes,virulence genes and capsule typing were detected by polymerase chain reaction;the high viscosity phenotype of strains was detected by string test,and the genome characteristics of CR-HVKP were detected by whole genome sequencing.Serum killing and biofilm formation test were used to further verify the virulence of CR-HVKP.Results:There were significant differences in drug resistance to common antibiotics,except for minocycline between CSKP and CRKP isolates(all P<0.05).92 out of 96 CRKP isolates carried carbapenemase genes,mainly blaKPC-2.The string tests were positive in 4 isolates of CRKP and 36 isolates of CSKP(P<0.05).The detection rates of virulence genes Kfu,aerobictin,iutA,ybtS,rmpA,magA,allS,and capsule antigen K1 and K2 in CSKP group were significantly higher than those in CRKP group(all P<0.05).One HVKP strain was detected in the CRKP group(CR-HVKP)and 36 HVKP was detected in the CSKP group(P<0.05).The CR-HVKP strain belonged to the MLST412,serotype K57,expressed iutA,entB,mrkD,fimH,and rmpA virulence genes,and showed strong biofilm formation and significantly increased serum resistance.Whole genome sequencing results showed that this CR-HVKP isolate carried blaSHV-145,blaTEM-1,blaCTX-M-3,fosA6,oqxA5,oqxB26,and aac(3)-Ⅱd resistance genes,accompanied by abnormalities in outer membrane protein K(OmpK)35 and OmpK36.Conclusions:The drug resistance of CRKP is significantly higher than that of CSKP,while CRKP carrying fewer virulence genes in both number and types compared to CSKP.A new MLST type of carbapenem-resistant and hypervirulent Klebsiella pneumoniae strain has been detected,which requires clinical awareness and epidemiological monitoring.

Objective: To explore the genetic basis for a pedigree affected with Marfan syndrome (MFS). Methods: Clinical data of the patients was collected.With genomic DNA extracted from peripheral blood samples, potential mutation was detected by targeted exome sequencing.Candidate variants were validated by Sanger sequencing and bioinformatic analysis. Results: Targeted exome sequencing and Sanger sequencing revealed a missense c. 649T>C(p.Trp217Arg) variant in the exon 7 of FBN1 gene, which was unreported previously.Bioinformatics analysis suggested that the variant can cause amino acid replacement and affect the structure and function of fibrillin-1. Conclusion A novel missense variant of the FBN1 gene was identified, which probably underlies the autosomal dominant MFS in this pedigree.

As an important material in pharmaceutical and chemical industry, β-alanine was mainly produced by chemical methods. L-aspartate-α-decarboxylase could catalyze the α-decarboxylation from L-aspartate to β-alanine. Determinations for specific activities of PanDs from Escherichia coli, Corynebacterium glutamicum and Bacillus subtilis were performed in this study (0.98 U/mg, 7.52 U/mg and 8.4 U/mg respectively). The optimal temperature and pH of PanDs from C. glutamicum and B. subtilis were 65 degrees C, pH 6.5 and 60 degrees C, pH 6.5 respectively. According to our research, PanD from B. subtilis could be more appropriate for industrial application because of the higher activity and thermostability when compared to PanDs from E. coli and C. glutamicum which had been the most studied. We also analyzed and discussed the special post-translation self-cleavage phenomenon and the mechanism based inactivation.
Bacillus subtilis ; enzymology ; Bacterial Proteins ; genetics ; metabolism ; Corynebacterium glutamicum ; enzymology ; Escherichia coli ; enzymology ; Glutamate Decarboxylase ; genetics ; metabolism ; Industrial Microbiology ; Temperature ; beta-Alanine

Objective To explore the clinical effect of manipulation treatment combined with auricular point sticking on vertebral artery cervical spondylopathy. Methods 120 patients with vertebral artery cervical spondylopathy were randomly divided into 3 groups, 40 cases in each. The comprehensive group received manipulation treatment and auricular point sticking. The manipulation treatment group received manipulation treatment only and the auricular point sticking group received auricular point sticking only. The peak systolic velocity (Vp), end diastolic peak flow velocity (Vd), mean peak flow velocity (Vm) of the vertebral-basilar artery were checked before and after treatment. Results The clinical cure rates (80%) was higher in the comprehensive group than in the manipulation treatment group (52.5%) and in the auricular point sticking group (47.5%) (P<0.01). The Vp, Vd, Vm in 3 groups improved obviously after treatment (P<0.05), especially in the comprehensive group (P<0.01). Conclusion Manipulation treatment with auricular point sticking is more effective on vertebral artery cervical spondylopathy than simply manipulation treatment or auricular point sticking.