Background::In the clinic, practitioners encounter many patients with an abnormal pattern of dense punctate magnetic resonance imaging (MRI) signal in the basal ganglia, a phenomenon known as "cheese sign". This sign is reported as common in cerebrovascular diseases, dementia, and old age. Recently, cheese sign has been speculated to consist of dense perivascular space (PVS). This study aimed to assess the lesion types of cheese sign and analyze the correlation between this sign and vascular disease risk factors.Methods::A total of 812 patients from Peking Union Medical College Hospital (PUMCH) dementia cohort were enrolled. We analyzed the relationship between cheese sign and vascular risk. For assessing cheese sign and defining its degree, the abnormal punctate signals were classified into basal ganglia hyperintensity (BGH), PVS, lacunae/infarctions and microbleeds, and counted separately. Each type of lesion was rated on a four-level scale, and then the sum was calculated; this total was defined as the cheese sign score. Fazekas and Age-Related White Matter Changes (ARWMC) scores were used to evaluate the paraventricular, deep, and subcortical gray/white matter hyperintensities.Results::A total of 118 patients (14.5%) in this dementia cohort were found to have cheese sign. Age (odds ratio [OR]: 1.090, 95% confidence interval [CI]: 1.064-1.120, P <0.001), hypertension (OR: 1.828, 95% CI: 1.123-2.983, P = 0.014), and stroke (OR: 1.901, 95% CI: 1.092-3.259, P = 0.025) were risk factors for cheese sign. There was no significant relationship between diabetes, hyperlipidemia, and cheese sign. The main components of cheese sign were BGH, PVS, and lacunae/infarction. The proportion of PVS increased with cheese sign severity. Conclusions::The risk factors for cheese sign were hypertension, age, and stroke. Cheese sign consists of BGH, PVS, and lacunae/infarction.

Objective:To understand the current knowledge, attitude, and practice (KAP) on influenza and influenza vaccine among pregnant women in Suzhou and to analyze its influencing factors to provide technical support data for public health strategies for promoting influenza vaccination in pregnant women.Methods:A questionnaire was designed, and a stratified sampling method was used to conduct a face-to-face survey among pregnant women at different stages of pregnancy who received antenatal examinations at different levels of medical institutions in Suzhou, Jiangsu Province, in 2023. KAP status and influencing factors were analyzed by χ2 test and logistic regression analysis. Results:A total of 2 195 valid questionnaires were collected in this survey. The M( Q1, Q3) of knowledge about influenza and influenza vaccine among pregnant women in Suzhou was 7.60 (5.23, 9.80) points, and the score range was 0.20-14.71 points, the passing rate was 34.12%, the awareness rate of influenza vaccine was 57.45%, and the vaccination rate of influenza vaccine was 1.91% within one year before the survey. The willingness to receive influenza vaccine during pregnancy was only 3.57%. Multivariate analysis of influenza and influenza vaccine-related knowledge scores showed that the passing rate was positively correlated with education level and gestational age. In contrast, family income was negatively correlated with living in rural areas, working as migrant workers, and having no medical insurance. Multivariate analysis of vaccination intention showed that decreased effectiveness of influenza vaccine and increased adverse reactions decreased vaccination intention during pregnancy. Conclusions:The pregnant women in Suzhou pay more attention to influenza, and vaccination rates and intentions are generally low. Pregnant women with early and second trimester of pregnancy, low education, living in rural areas, working as migrant workers, and not purchasing medical insurance are the key groups to popularize the knowledge about influenza and influenza vaccine.

Objective:To analyze the clinical and imaging features of patients with COVID-19-related osmotic demyelination syndrome (ODS).Methods:COVID-19-related ODS cases diagnosed in the Department of Neurology, Peking Union Medical College Hospital from January 2020 to September 2023 were retrospectively reviewed. And their past medical history, possible triggers, clinical manifestations, imaging manifestations, treatment and prognosis were summarized.Results:A total of 5 patients with COVID-19-related ODS were included. Electrolyte disturbances acted as an inducement of ODS in all patients (5/5),4 of whom with hyponatremia. Four of 5 patients first presented with disturbance of consciousness, followed by predominant dystonia. Imaging of all patients (5/5) showed isolated extrapontine myelinolysis (EPM). With the prolongation of the course of disease, such signal intensity could return to normal, and lesions showed atrophic changes in some patients. The patients′ clinical symptoms were partly relieved within a few days to a few months after treatment.Conclusions:COVID-19-related ODS is mostly associated with hyponatremia, and EPM is more common. COVID-19 should be considered as a risk factor for ODS.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective:To evaluate the diagnostic performance of the prostate imaging reporting and data system version 2.1 (PI-RADS v2.1) based on multiparametric MRI (mpMRI) in the detection of clinically significant prostate cancer (csPCa).Methods:A total of 561 patients who underwent prostate mpMRI in the First Affiliated Hospital of Guangxi Medical University from June 2015 to December 2020 due to elevated prostate specific antigen were collected ambispectively. The patients were divided into csPCa group (276 cases) and non-csPCa group (285 cases) according to pathological findings. Prostate were scored according to the PI-RADS v2.1 scoring standard by a junior and a senior radiologist. The prostate volume was measured and the prostate specific antigen density (PSAD) was calculated. The diffusion-weighted imaging and dynamic contrast-enhanced MRI images were processed to measure the quantitative parameters of the index lesion, including apparent diffusion coefficient (ADC), volume transfer constant (K trans) and rate constant (K ep) values. The Mann-Whitney U test was used to compare the difference in parameters between the two groups. The predictors of csPCa were screened by logistic regression analysis. Predictive model of multi-parameter was established. The receiver operator characteristic curves were used to evaluate the efficacy of PI-RADS v2.1 and the model in diagnosing csPCa, and the comparisons of area under the curve (AUC) were conducted by DeLong test. Results:Compared with non-csPCa group, the patients in csPCa group had higher PI-RADS score of senior physician, PSAD, K trans and K ep value, lower ADC value ( Z=-16.69, -12.49, -3.43, -4.67, 13.91, all P<0.001). The PI-RADS scores of senior physician (OR=3.064, 95%CI 2.428-3.866, P<0.001), PSAD (OR=1.554, 95%CI 1.170-2.064, P=0.002) and ADC value (OR=0.095, 95%CI 0.032-0.288, P<0.001) were the predictors of csPCa. The AUC of junior, senior physician PI-RADS and combined prediction model were 0.861 (95%CI 0.830-0.892), 0.895 (95%CI 0.868-0.922) and 0.923 (95%CI 0.898-0.944). The pairwise difference was statistically significant (the PI-RADS score between the junior and senior physicians Z=3.24, P=0.001, the difference between the PI-RADS score of junior physician and prediction model Z=5.54, P<0.001, the difference between the PI-RADS score of senior physician and prediction model Z=4.20, P<0.001). Conclusion:Based on mpMRI, the application of PI-RADS v2.1 by junior and senior radiologists has the high diagnostic efficacy for csPCa, and the multi-parameter model has the best diagnostic efficacy for csPCa.

Objective:To explore the influencing factors of seasonal influenza among pregnant woman in Suzhou from 2015 to 2018.Methods:Based on the data of the influenza follow-up cohort of pregnant women in Suzhou from 2015 to 2018, the basic and clinical characteristics of the cohort were described, and the influencing factors of laboratory-confirmed influenza cases in pregnant women were analyzed by unconditional logistic regression.Results:A total of 19 006 pregnant women were recruited, in whom 479 cases of influenza were laboratory confirmed. Influenza A (H3N2) (42.8%) was the main sub-type. In pregnant women with exposure risk in influenza season, unconditional univariate logistic analysis showed that pregnant women or their husbands had registered permanent residence in Suzhou, pregnant women worked as childminder or nanny, had more than 2 permanent residents in the family except themselves, had medical insurance in Suzhou, had fertility insurance in Suzhou, were in the third trimester at the time of enrollment, had cough in the past month, were pregnant for the first time, had children, before and after pregnancy, spent more time outdoors than before, wore masks more often than before and had changed the frequency of gathering were all related to influenza virus infection in pregnant women. Among them, the first pregnancy, increasing the time of outdoor activity, increasing the frequency of wearing masks, and changing the frequency of gathering were important protective factors. Unconditional multivariate logistic regression analysis showed that the number of permanent residents at home was >2 (a OR=1.24, 95% CI: 1.01-1.52) and being in the third trimester, (a OR=1.56, 95% CI: 1.26-1.91) were the risk factors for maternal infection with influenza virus. Conclusion:Pregnant women with a large number of permanent residents and late pregnancy should pay attention to preventing seasonal influenza.