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 study a classifier used to classify arrhythmia electrocardiogram (ECG) signals under the inter-patient paradigm to improve the accuracy of automatic classification and solve the limitations of manual diagnosis of arrhythmia.Methods:A SVM+XGBoost ensemble classifier with four modules including preprocessing, feature extraction, support vector machine (SVM) training and ensemble classification was constructed. ECG signal was preprocessed, and R-R interval, high-order statistics, local binary patterns and wavelet components were used as features to train independent SVM classifiers. Then, XGboost algorithm was used to integrate independent SVM classifiers and output arrhythmia classification results. The integrated classifiers were trained and tested on MIT-BIH database.Results:The overall classification accuracy of the ensemble classifier for arrhythmia was 0.867 and the average sensitivity was 0.782.Conclusions:The proposed ensemble classifier can realize automatic and accurate classification of arrhythmia ECG signals under the inter-patient paradigm, and can be used for clinical auxiliary diagnosis.

OBJECTIVES: Quantitative magnetic resonance imaging has been successfully applied to assess the status of cartilage biochemical components. This study aimed to investigate the performance of 3.0T magnetic resonance imaging T mapping combined with texture analysis for evaluating the early degeneration of lumbar facet joints. METHODS: A total of 38 patients (20 in the asymptomatic group and 18 in the symptomatic group) were enrolled. All patients underwent 3.0T magnetic resonance imaging conventional sequences, water excitation three-dimensional spoiled gradient echo sequence (3D-WATSc), and T mapping scans. The bilateral L and L/S lumbar facet joints were morphological graded using the Weishaupt criteria, T values, and texture parameters derived from T mapping of cartilage. The Kruskal-Wallis test was used to compare the differences of parameters among different groups. Multivariate logistic regression analysis was used to obtain the independent predictive factors for evaluating the early degeneration of lumbar facet joints. Receiver operating characteristic (ROC) curve was performed and the area under curve (AUC) was calculated. Spearman correlation analysis was used to evaluate the correlation of the independent predictors of cartilage T value and texture parameters with the subjects' Japanese Orthopedic Association (JOA) score or Visual Analogue Scale (VAS) score. RESULTS: A total of 148 facet joints were selected, including 70 in Weishaupt 0 (normal) group, 58 in Weishaupt 1 group, and 20 in Weishaupt 2-3 group. T value, entropy, and contrast increased significantly as the exacerbation of facet joint degeneration (all <0.05), while the inverse difference moment, energy, and correlation decreased (all <0.05). Entropy among different groups was significantly different (all <0.05), and the differences of T value, contrast, inverse difference moment, and energy between Weishaupt 0 and Weishaupt 1 groups, or Weishaupt 0 and Weishaupt 2-3 groups were statistically significant (all <0.05). Multivariate logistic regression analysis suggested that T value and inverse difference moment were the independent predictors for evaluating early degeneration of facet joints. The combination of T value with inverse difference moment achieved the best performance in distinguishing Weishaupt 0 from Weishaupt 1 (AUC=0.85), with sensitivity and specificity at 92.7% and 76.5%, respectively. In the symptom group, the cartilage T value combined inverse difference moment was positively correlated with JOA score (=0.475, <0.05) and VAS score (=0.452, <0.05). CONCLUSIONS 3.0T magnetic resonance imaging T mapping combined with texture analysis is helpful to quantitatively evaluate the early degeneration of lumbar facet joints, in which the T value and inverse difference moment show an indicative significance．.
Algorithms ; Humans ; Lumbar Vertebrae ; Magnetic Resonance Imaging ; Sensitivity and Specificity ; Spondylosis ; Zygapophyseal Joint

To explore the value of prostate imaging reporting and data system version 2 (PI-RADS V2) combined with quantitative parameters derived from apparent diffusion coefficient (ADC) map in the diagnosis of peripheral zone prostate cancer.
 Methods: A total of 50 patients who underwent prostate multiparametric MRI (mpMRI) with suspicious peripheral nodules were retrospectively enrolled, and all patients were biopsy-proven histologically. Two radiologists analyzed the position and category of peripheral zone lesions based on PI-RADS V2. Then 12 ADC quantitative parameters were calculated regarding each lesion on the ADC map by post-processing software. The lesions were divided into malignant group and benign group according to histopathological findings. The ADC quantitative parameters between groups were compared, and stepwise logistic regression analysis was used to build a discriminative model. Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were performed to evaluate the diagnostic power and clinical benefit.
 Results: Twenty-eight peripheral zone prostate malignant lesions and 25 benign lesions were obtained finally. The area under the ROC curve, sensitivity and specificity to differentiate peripheral zone prostate malignant from benign lesions were as follows: 0.803, 60.71%, 92.00% (PI-RADS V2 score), 0.857, 89.29%, 76.00% (ADC model), and 0.891, 71.43%, 92.00% (combined model), respectively. The discriminative power of the combined model was significantly improved compared with PI-RADS V2 score (P=0.012). The combined model had relatively optimal overall net benefit, which outperformed the PI-RADS V2 score when threshold probability varied in the range of 0.05-0.27 and 0.46-0.81.
 Conclusion: PI-RADS V2 combined with quantitative analysis of ADC map improve the power in discriminating peripheral zone prostate cancer from benign lesions, and the clinical benefit as well.
Data Systems ; Diffusion Magnetic Resonance Imaging ; Humans ; Magnetic Resonance Imaging ; Male ; Prostatic Neoplasms ; diagnostic imaging ; Retrospective Studies

Objective To analyze the predictive value of combination of endoscopic ultrasound (EUS)and 64-slice dual-source computed tomography(DSCT)in regional clinical staging and peritoneal metastases of gastric cancer.Methods From July 2011 to May 2017,365 patients with gastric cancer diagnosed by endoscopic biopsy were enrolled.The patients received EUS and DSCT examination with the gold standard of postoperative pathological diagnosis,the accuracies of EUS alone,DSCT alone and the combination of EUS and DSCT were evaluated in original gastric tumor,regional lymph nodes and peritoneal metastases.The accuracy,sensitivity,specificity,the positive predictive value,the negative predictive value,consistency(the value of K ap pa)and area under curve(AUC)of receiver operating characteristic(ROC)curve were calculated.Results A total of 263 patients were enrolled into the study on the depth of tumor invasion and clinical staging of regional lymph nodes and 289 patients were recruited into the clinical prediction study on peritoneal metastasis.The accuracy of EUS in clinical staging of the depth of tumor invasion was 75.29% and the sensitivity,specificity,the value of Kappaand AUC of EUS in clinical staging of regional lymph nodes were 86.26%,81.81%,0.681 and 0.840,respectively.The sensitivity,specificity,the value of Kappaand AUC of DSCT in clinical staging of regional lymph nodes were 74.81%,87.12%,0.620 and 0.813,respectively.The sensitivity,specificity,the value of Kappa and AUC of EUS in the prediction of peritoneal metastases were 38.24%,97.25%,0.432 and 0.668, respectively.The sensitivity,specificity,the value of Kappa and AUC of DSCT in the prediction of peritoneal metastases were 41.18%,100.00%,0.553 and 0.706,respectively.The accuracy and the value of Kappaof the combination of EUS and DSCT in clinical staging of the depth of tumor invasion were 75.29% and 0.639;the sensitivity,specificity,positive predictive value,negative predictive value, Kappa,AUC in clinical staging of regional lymph nodes were 93.13%,87.88%,88.41%,92.80%, 0.810 and 0.905,respectively;and the sensitivity,specificity,positive predictive value,negative predictive value,Kappa,AUC in the prediction of peritoneal metastases were 58.82%,97.25%, 74.07%,94.66%,0.616 and 0.774,respectively.Conclusions The combination of EUS and DSCT which is superior to single examination is very helpful in the depth of gastric cancer invasion and regional lymph nodes,and is helpful in the prediction of peritoneal metastasis. The combination of two complementary examinations can improve the accuracy of the depth of gastric cancer invasion,clinical staging of regional lymph nodes,and the prediction of peritoneal metastasis.

Objective To analyze the clinical efficacy,toxicity and survival prognosis of patients diagnosed with Siewert type Ⅱ and Ⅲ locally advanced adenocarcinoma of esophagogastric junction (AEG) undergoing preoperative involved-field irradiation with concurrent chemotherapy. Methods A total of 45 cases were recruited in this prospective clinical trial. Prior to surgery, patients received 2 cycles of chemotherapy with XELOX and concurrent radiotherapy ( a total of 45 Gy in 25 fractions,5 times weekly). After 6-8 weeks,they underwent surgical resection. After the surgery,patients received 6 cycles of adjuvant chemotherapy. The completion of preoperative neoadjuvant chemoradiotherapy, postoperative pathological status,TNM down-staging effect and adverse reactions were observed. Kaplan-Meier method was applied to estimate survival analysis. Results All 45 patients completed preoperative neoadjuvant chemoradiotherapy. Among them, 39 patients completed 2 cycles of chemotherapy, and 6 patients completed 1 cycle of chemotherapy. The median time of surgical interval was 6 weeks. The R0resection rate was 96%.The pathological complete response (pCR) rate was 22%. The TNM down-staging rate was 69%.The incidence of acute radiation-induced esophagitis or gastritis was 44% and the incidence of radiation-induced pneumonitis was 7%. The incidence of grade 1-3 leukocytopenia,thrombocytopenia and neutropenia was 78%,47% and 44%,respectively. In terms of gastrointestinal reactions,the incidence of nausea,vomiting and loss of appetite was 62%,24% and 71%,respectively. No hematologic or nonhematologic adverse effects was observed at grade 4 or 5.The median follow-up time was 30 months. 11 patients died of cancer,1 patient was treatment-related death in the perioperative period and 1 patient died of pneumonia. The 1-,2-and 3-year progression-free survival (PFS) rates were 90%,70% and 67%,respectively. The 1-,2-and 3-year overall survival rates were 95%,80% and 75%,respectively. The 1-,2-and 3-year local control rates were 95%,84% and 84%, respectively. The 1-, 2-and 3-year distant metastasis rates were 7%, 25% and 25%, respectively. Conclusions Preoperative involved-field irradiation with concurrent chemotherapy yields relatively high clinical efficacy and is well tolerated by patients with Siewert typeⅡandⅢlocally advanced AEG.Patients are recommended to receive 4 cycles of adjuvant chemotherapy following neoadjuvant chemoradiotherapy and surgery.

Objective To examine the effects of different pre-treatment nutritional status and inflammatory markers on acute adverse reactions in esophageal cancer patients during concurrent intensity-modulated radiation therapy (IMRT) and chemotherapy.Methods The acute adverse reactions of 338 eligible esophageal cancer patients who received concurrent IMRT and chemotherapy in our hospital from 2006 to 2014 were reviewed.The effects of different pre-treatment nutritional status, such as body mass index level (BMI), albumin level (ALB), total lymphocyte count (TLC), the presence or absence of anemia, and inflammatory indicators including neutrophil lymphocyte ratio (NLR) and platelet lymphocyte ratio (PLR), on acute adverse reactions in the patients were examined.Data were analyzed using the chi-square test with continuity correction and logistic regression analysis.Results The incidence rate of malnutrition in the patients based on their nutritional status was 5.62%-54.14%.The incidence rate of grade≥2 acute radiation esophagitis (RE) was significantly higher in the low ALB group than in the normal ALB group (P=0.000).The incidence rate of adverse reactions in the hematologic system increased as TLC decreased (P=0.006), but the incidence rate of acute radiation pneumonitis (RP) was reduced as TLC decreased (P=0.001).In addition, the incidence rate of grade ≥2 acute RE was significantly higher in the anemia group than in the non-anemia group.Inflammatory marker analysis demonstrated that the incidence rate of acute RE was significantly higher in the high NLR group and high PLR group than in the low NLR group and low PLR group (P=0.000 and P=0.024, respectively).Logistic regression analysis of nutritional status and inflammatory markers showed that TLC was an independent risk factor for acute adverse reactions in the hematologic system (P=0.001), and ALB and PLR were independent risk factors for acute RE (P=0.017 and P=0.011,respectively).Conclusions Nutritional status and inflammatory markers are associated with concurrent chemoradiotherapy-induced acute adverse reactions in esophageal carcinoma patients, and hence may be valuable indicators of acute adverse reactions during treatment.In addition, nutritional treatment and support care should be actively provided to the patients to prevent the development of acute adverse reactions during treatment.