The receptors of Newcastle disease virus(NDV)are sialic acid receptors that mainly in-clude neu5ac-α-2,3gal-β-1,4Glc(SAα2,3Gal)and neu5ac-2-s-α-2,6Gal10Me(SAα2,6Gal).The distribution and abundance of the two receptors in host cells have important effects on virus sus-ceptibility and intracellular proliferation.In order to further explore the effects of sialic acid recep-tors on susceptibility and proliferation characteristics of NDV different strains,the expression lev-els of SAα2,3Gal and SAα2,6Gal receptors on BHK-21 cell membrane were adjusted by overex-pression and RNAi assays,and the TCID50 values were determined after different BHK-21 cells were inoculated with NDV strains Ⅰ and LaSota.The results suggested that NDV strain LaSota preferentially binds to SAα2,6Gal and strain Ⅰ selectively binds to SAα2,3Gal receptor.Further-more,the viral titers of NDV strains LaSota and Ⅰ in cell culture were positively correlated with the expression levels of SAα2,6Gal and SAα2,3Gal receptors on host cell membrane respectively.In conclusion,our studies provide an understanding of the relationship between infectivity of NDV different strains and receptor types of host cell,and provide a method to increase viral titer of NDV for cell-based vaccine production.

Objective To analyze the factors influencing iodine nutritional status in pregnant women dur-ing pregnancy,based on thyroid function and thyroid autoantibody levels,and to explore the association between iodine nutritional abnormalities and pregnancy outcomes.Methods A total of 838 pregnant women who underwent routine prenatal checkups at Qinghai Provincial People's Hospital between January 2021 and June 2023 were pro-spectively enrolled in this study.All participants were followed until delivery.Seven cases were lost to follow-up,resulting in a final sample size of 831 participants.Among them,276 were in the first trimester,384 in the second trimester,and 171 in the third trimester.Data on urinary iodine concentration(UIC),urinary creatinine(UCr),thyroid function indicators,and thyroid autoantibodies were collected.Based on their iodine nutritional status,the participants were categorized into either the iodine-sufficient group or the iodine-abnormal group(including iodine-deficient,iodine-hyper-sufficient,and iodine-excessive subgroups).This study analyzed the iodine nutritional sta-tus of pregnant women during different gestational periods,compared thyroid function indices,prevalence of thy-roid diseases,and the positivity rates of thyroid peroxidase antibody(TPOAb),thyroglobulin antibody(TGAb),and thyroid-stimulating hormone receptor antibody(TRAb)among different iodine status groups.Additionally,ad-verse pregnancy outcomes were compared across groups.Multivariate logistic regression analysis was conducted to identify risk factors associated with iodine abnormalities during pregnancy,and a predictive model was developed to assess its potential predictive value.Results Among the 831 pregnant women included in the study,373 cases(44.89％)exhibited iodine sufficiency,while 458 cases(55.11％)presented with iodine abnormalities,including 282 cases of iodine deficiency,144 cases of iodine hypersufficiency,and 32 cases of iodine excess.No statistically significant differences were observed in the iodine nutritional status across different trimesters(P>0.05).The se-rum level of thyroid-stimulating hormone(TSH)was significantly higher in the iodine abnormal group compared to the iodine sufficient group(P<0.05).Additionally,the iodine abnormal group demonstrated higher positivity rates of TPOAb alone,TGAb,and TRAb,as well as increased incidence of thyroid dysfunction and total adverse pregnancy outcomes compared to the iodine sufficient group(all P<0.05).These adverse indicators were also sig-nificantly elevated in the iodine-deficient,iodine super-sufficient,and iodine overdose subgroups compared to the iodine sufficient group(P<0.05).Elevated serum TSH levels and the presence of TPOAb,TGAb,and TRAb were identified as risk factors for iodine abnormalities during pregnancy(P<0.05).The predictive model con-structed for identifying iodine abnormalities in pregnant women demonstrated an area under the curve(AUC)of 0.876,with a sensitivity of 72.27％and a specificity of 89.01％.Conclusions The prevalence of iodine nutritional abnormalities among pregnant women during pregnancy was high,with most cases presenting iodine deficiency.These abnormalities were associated with thyroid function,thyroid autoimmunity,and pregnancy outcomes,but showed no significant correlation with gestational age.Furthermore,the prediction model developed based on iden-tified risk factors demonstrated effective performance in predicting iodine nutritional abnormalities during preg-nancy.

The aim of this experiment was to study the effects of different feeding modes on growth performance,blood biochemical indexes and intestinal flora of lactating Holstein male calves.Twenty-four newborn Holstein male calves with body mass of(40.00±1.01)kg and similar day old were selected and randomly divided into four groups of six calves each.The subgroups were low-milk group(LM),high-milk group(HM),high-milk milk replacer feeding group(HMR),and low-milk switching to high-milk milk replacer feeding group(CMR).The results showed that:At 45 d,the body mass of calves in the HM group was significantly higher than that of calves in the other groups(P＜0.05),and at 60 d,the body mass of calves in the HM group was significantly higher than that of calves in the LM &.CMR groups(P＜0.05).At 90 d,the body mass of calves in the LM group was significantly higher than that of calves in the HM group.Throughout the ex-perimental period,the average daily weight gain and average pellet feed intake of calves in the LM group were significantly higher than that of calves in the HM group(P＜0.05).The calf globulin level in the HMR group was significantly higher than that in the LM and HM groups(P＜0.05);the plasma immunoglobulin A level of calves in the HM group was significantly lower than that of calves in the LM and HMR groups(P＜0.05);and the plasma immunoglobulin M level of calves in the HM group was significantly higher than that of calves in the LM and CMR groups(P＜0.05),and HMR group was also significantly higher than that of LM group(P＜0.05);plasma glutathione peroxidase level of calves in HMR group was significantly higher than that of LM group(P＜0.05);plasma malondialdehyde level of calves in LM group was significantly higher than that of calves in HMR and HM groups(P＜0.05),and CMR group was also significantly higher than that of HM group(P＜0.05).Relative abundance of Thermodesulfovibrio was higher in the HM group(P＜0.05),relative abundance of Bacteroidetes in the LM group was significantly higher than that in the HMR and HM groups(P＜0.05),relative abundance of Blautia in the HM group(P＜0.05),and relative abundance of Corynebacterium in the CMR group was significantly higher than that in the LM and HM groups(P＜0.05).In summary,calves in the LM group had better weaning weights and pellet feed intake;calves in the CMR group could compensate for growth by supplemental feeding of milk replacer to obtain more optimal weaning weights and pel-let feed intake;the HMR group proved that milk-free feeding could ensure stable growth of calves;and calves in the HM group had a better pre-lactation growth performance,lower levels of oxida-tive stress,and a healthier fecal flora.

In recent years,the microorganisms residues in endoscopes have frequently resulted in cross transmis-sion or even the outbreak of hospital-associated infections.It is of great importance to carry out standardized bio-logical surveillance of endoscopes,find out the high-risk links of cleaning and disinfection,and take targeted inter-vention measures to reduce the incidence of endoscopy-related infection.Based on the related guidelines in China and abroad as well as the latest clinical practice researches,the biological surveillance sampling and culture for en-doscopes were summarized in the article so as to enhance the surveillance quality,ensure the reprocessing effect and guarantee the endoscopy-related quality and safety.

Objective To construct and validate a diagnostic model based on mammography,MRI,and multimodal ultrasound for diagnosing benign and malignant for the breast imaging reporting and data system(BI-RADS)4 category breast nodule with malig-nant microcalcifications.Methods The data of 243 patients with BI-RADS 4 category breast nodule with malignant microcalcifica-tions were retrospectively analyzed and randomly divided into training set(194 cases)and validation set(49 cases)according to a ratio of 8︰2.According to the pathological results,the factors affecting the benign and malignant diagnosis for BI-RADS 4 category breast nodule with malignant microcalcifications were analyzed,then constructed a diganostic model and validated it.Results There were 118 cases and 29 cases with malignant nodules and 76 cases and 20 cases with benign nodules in the training and validation sets,respectively.Logistic regression analysis of the training set showed that fine pleomorphic microcalcification morphology,apparent dif-fusion coefficient(ADC)value,low or very low echogenicity,and heterogeneous enhancement of microvesicle distribution within the nodules were the risk factors for benign and malignant diagnosis for BI-RADS 4 category breast nodule with malignant microcalcifica-tions(P<0.05).The nomogram prediction model based on the above factors corresponded to a risk rate range of 0.05 to 0.86,and the calibration curve for diagnosing benign and malignant BI-RADS 4 category breast nodule with malignant microcalcifications tended to be close to the ideal curve(P>0.05).The nomogram model for diagnosing malignant nodule for BI-RADS 4 category breast nod-ule with malignant microcalcifications showed that the sensitivity was 81.39%and 88.73%,the specificity was 90.02%and 82.51%,and the area under the curve(AUC)was 0.874 and 0.891 in the training set and validation set,respectively.Conclusion The model constructed based on mammography,MRI,and multimodal ultrasound has good diagnostic efficacy for BI-RADS 4 category breast nodule with malignant microcalcifications.

Objective To investigate the effect of the rs3765467 polymorphism of glucagon-like peptide-1 receptor(GLP-1R)gene on the efficacy of Liraglutide(Lir)in patients with type 2 diabetes mellitus(T2DM)and metabolic associated fatty liver disease(MAFLD).Methods A total of 281 patients with T2DM from May 2022 to May 2023 were selected,including 125 patients with simple T2DM(T2DM group)and 156 patients with T2DM combined with MAFLD(T2DM+MAFLD group).120 healthy individuals during the same period were selected as the control(NC)group.The related indexes of glucose and lipid metabolism were detected.The polymorphism of GLP-1R gene rs3765467 was detected.Results BMI,FPG,HbA1c,HOMA-IR and TG in each group increased in turn(P<0.05),while the distribution frequency of genotype GG and allele G decreased in turn(P<0.05).TC and LDL-C in T2DM and T2DM+MAFLD groups were higher than those in NC group(P<0.05).TC and TG levels in genotype GA/AA patients were significantly higher than those in genotype GG patients(P<0.05).Compared with before treatment,the levels of BMI,FPG,HbA1c,HOMA-IR,TC,TG and LDL-C in T2DM patients with MAFLD were significantly decreased after Lir treatment(P<0.05).There was no significant difference in BMI and related indexes of glucose and lipid metabolism in GG and GA/AA patients before and after Lir treatment(P>0.05).Conclusions The distribution frequency of GG and G allele at rs3765467 of GLP-1R gene is reduced in T2DM patients with MAFLD.The carrying of allele A was associated with increased TC and TG levels,but did not affect the efficacy of Lir in reducing weight and improving glycolipid metabolism.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

In recent years,the microorganisms residues in endoscopes have frequently resulted in cross transmis-sion or even the outbreak of hospital-associated infections.It is of great importance to carry out standardized bio-logical surveillance of endoscopes,find out the high-risk links of cleaning and disinfection,and take targeted inter-vention measures to reduce the incidence of endoscopy-related infection.Based on the related guidelines in China and abroad as well as the latest clinical practice researches,the biological surveillance sampling and culture for en-doscopes were summarized in the article so as to enhance the surveillance quality,ensure the reprocessing effect and guarantee the endoscopy-related quality and safety.

Objective To construct and validate a diagnostic model based on mammography,MRI,and multimodal ultrasound for diagnosing benign and malignant for the breast imaging reporting and data system(BI-RADS)4 category breast nodule with malig-nant microcalcifications.Methods The data of 243 patients with BI-RADS 4 category breast nodule with malignant microcalcifica-tions were retrospectively analyzed and randomly divided into training set(194 cases)and validation set(49 cases)according to a ratio of 8︰2.According to the pathological results,the factors affecting the benign and malignant diagnosis for BI-RADS 4 category breast nodule with malignant microcalcifications were analyzed,then constructed a diganostic model and validated it.Results There were 118 cases and 29 cases with malignant nodules and 76 cases and 20 cases with benign nodules in the training and validation sets,respectively.Logistic regression analysis of the training set showed that fine pleomorphic microcalcification morphology,apparent dif-fusion coefficient(ADC)value,low or very low echogenicity,and heterogeneous enhancement of microvesicle distribution within the nodules were the risk factors for benign and malignant diagnosis for BI-RADS 4 category breast nodule with malignant microcalcifica-tions(P<0.05).The nomogram prediction model based on the above factors corresponded to a risk rate range of 0.05 to 0.86,and the calibration curve for diagnosing benign and malignant BI-RADS 4 category breast nodule with malignant microcalcifications tended to be close to the ideal curve(P>0.05).The nomogram model for diagnosing malignant nodule for BI-RADS 4 category breast nod-ule with malignant microcalcifications showed that the sensitivity was 81.39%and 88.73%,the specificity was 90.02%and 82.51%,and the area under the curve(AUC)was 0.874 and 0.891 in the training set and validation set,respectively.Conclusion The model constructed based on mammography,MRI,and multimodal ultrasound has good diagnostic efficacy for BI-RADS 4 category breast nodule with malignant microcalcifications.