Objective To investigate the relationship between regulatory T(Treg)cells and recurrence after treatment with mometasone furoate in children with adenoid hypertrophy complicated with allergic rhinitis.Methods A total of 104 children with adenoid hyperplasia complicated with allergic rhinitis admitted to Chan-gzhou Maternal and Child Health Care Hospital from January 2021 to January 2023 were selected as the study subjects.All the children were treated with mometasone furoate for 1 month.According to whether the drug relapsed after 3 months,the patients were divided into recurrence group and the non-recurrence group.The pe-ripheral blood Treg cells,intracellular cytokine interleukin-10(IL-10),transforming growth factor β1(TGF-β1),IgE,IgG4 levels,and eosinophilic count(EOS)were measured in both groups before and after treatment.The adenoid/nasopharynx(A/N)value and symptom scores of allergic rhinitis were measured 3 months after drug withdrawal in the two groups.Pearson analysis was used to evaluate the correlation between Treg cells and A/N value and symptom scores.The effectiveness of Treg cells,IL-10,TGF-β1,IgE,IgG4,and EOS in predicting the recurrence was evaluated by receiver operating characteristic(ROC)curve.Results The recur-rence rate of 104 children with adenoid hypertrophy complicated with allergic rhinitis was 41.35％(43/104).After treatment,Treg cells,IL-10,TGF-β1 and IgG4 in the recurrent group were lower than those in the non-recurrent group,while IgE,EOS,A/N value and symptom score were higher than those in the non-recurrent group,with statistical significance(P＜0.05).Pearson analysis showed that Treg cells were negatively corre-lated with A/N value(r=-0.470,P＜0.001)and rhinitis symptom scores(r=-0.872,P＜0.001).The accuracy,sensitivity and specificity of Treg cells in predicting the prognosis were 94.6％,95.1％and 93.0％respectively.Conclusion Treg cells are effective in predicting the prognosis of children with adenoid hypertro-phy complicated with allergic rhinitis.

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 analyze the scores of National Institutes of Health stroke scale(NIHSS),geriatric nutritional risk index(GNRI),motor function in dependence measure(MFIM)and the risk of stroke-related pneumonia(SAP).Methods Patients with stroke admitted from November,2021 to May,2022 were included.The scores of NIHSS,GNRI and MFIM at admission were collected,and they were divided into non-SAP group(n=232)and SAP group(n=86)according to whether pneumonia occurred within one week after stroke.According to the receiver operating characteristic(ROC)curve,the predictive ability of each score to SAP was evaluated,and each score was grouped according to the best cut-off point.logistic regression model and restricted cubic spline were used to analyze the relationship between each score and SAP.Results A total of 318 stroke patients were enrolled in the study including 86 in SAP group and 232 in non-SAP group.Logistic regression shows that,levels of NIHSS score(OR=32.783,95％CI:16.366～65.671,P<0.001),MFIM score(OR=0.052,95％CI:0.027～0.100,P<0.001)and GNRI score(OR=0.262,95％CI:0.144～0.476,P<0.001)were associated with SAP.Restricted cubic spline analysis shows that,there was a nonlinear dose-response relationship between SAP risk and NIHSS score(P-general trend<0.001,P-nonlinear=0.002),GNRI score(P-general trend<0.001,P-nonlinear<0.001).Conclusion NIHSS,MFIM,and GNRI scores are associated with the risk of SAP in stroke patients,and some of them have nonlinear relationships.

Objective:To construct an evaluation scale for post competence of family doctors based on knowledge-skill-management model.Methods:The evaluation dimensions and indicators for post competency of family doctors were preliminarily developed through literature review, internal group meeting and brainstorming, and in-depth interviews of experts. And 16 experts in the fields of general practice and health management were invited for 2 rounds of Delphi consultation from December 2020 to April 2021. A competency evaluation scale for family doctors based on the dimensions of knowledge, skills and management was finally constructed.Results:The age of the experts was (47.9±7.3) years with a working experience of (24.6±7.8) years. The Cronbach′s α of the questionnaires was 0.891 and the KMO was 0.844. The positive coefficients for 2 rounds of expert consultation were 100%; the familiarity level of experts was 0.86 and authority level was 0.89 in the first round consultation, and those were 0.84 and 0.90 in the second round consultation. After 2 rounds of consultation, the coordination coefficient of expert opinions in the knowledge and skill dimensions was>0.5, and that in the management dimension and overall evaluation system was>0.3. After discussion 2 indicators were deleted in the first round of consultation. The finally constructed family doctor post competency evaluation scale included 3 dimensions, 8 secondary indicators and 61 tertiary indicators. Conclusion:Through the Delphi consultation, we have successfully constructed an evaluation scale for post competence of family doctors based on the three dimensions of knowledge, skills and management.

OBJECTIVE To analyze the influential factors of cardioto xicity in patients with positive breast cancer of human epidermal growth factor receptor 2（HER-2）treated by trastuzumab combined with chemotherapy. METHODS From April 2017 to January 2021，200 HER-2 positive breast cancer patients receiving pirarubicin + cyclophosphamide combined with sequential paclitaxel+trastuzumab were collected from our hospital. According to the presence or absence of cardiotoxicity ，the patients were divided into cardiotoxicity group and non-cardiotoxicity group. The clinical data and echocardiographic results of the patients were collected，and the influential factors of cardiotoxicity were analyzed. RESULTS Among 200 patients，43 patients suffered from cardiotoxicity with the incidence of 21.5％. The proportion of patients with cardiotoxicity during pirarubicin+cyclophosphamide therapy accounted for 5.5％（11/200），and the proportion of patients with cardiotoxicity during sequential paclitaxel+trastuzumab therapy accounted for 20.5％（41/200）；the latter was significantly higher than the former （P＜0.01）. At the same time ，the decrease of left ventricular ejection fraction during sequential therapy of paclitaxel and trastuzumab was significantly higher than that during pirarubicin+cyclophosphamide therapy [ 14％（12％，17％）vs. 7％（3％，10％），P＜0.001]. Compared with patients without cardiotoxicity ，the proportion of patients with cardiotoxicity with a history of hyperlipidemia was significantly higher （P＜ 0.01），while the proportion of patients receiving dexrazoxane was significantly lower （P＜0.01）. Results of binary Logistic regression analysis showed that the history of hyperlipidemia [OR ＝3.672，95％ CI（1.499，8.992），P＝0.004] and the use of dextrazoxane [OR ＝0.154，95％ CI（0.072，0.330）， P＜0.001] were associated with the occurrence of cardiotoxicity. CONCLUSIONS Hyperlipidemia is an independent risk factor for cardiotoxicity induced by pirarubicin + cyclophosphamide combined with sequential paclitaxel+trastuzumab in HER 2 positive breast cancer patients ，while the use of dextrazoxane is a protective factor.

Objective:To verify the protective effect of terazosin on cognitive function of rats after whole-brain irradiation (WBI) and to investigate its mechanism.Methods:A total of 64 1-month-old male SD rats were randomly divided into the untreated control group, terazosin group, irradiation group and irradiation plus terazosin group (combination group). WBI was administered at a single dose of 20 Gy in the irradiation and combination groups. The open field test and the Morris water maze (MWM) test were used to evaluate the effect of terazosin on cognitive function after WBI.Starting from the three aspects of juvenile neuron apoptosis, neurogenesis disorderand microglia activation, the possible cellular mechanism wasassayed by double-label immunofluorescence staining for BrdU (bromodeoxyuridine) / NeuN, DCX(Doublecortin) / Caspase-3 and single-label immunofluorescence staining for Iba-1 (ionized calcium binding adaptor molecule-1).Results:Terazosin intervention improved the short-term memory retention of irradiated rats ( P=0.032). After terazosin treatment, the number of DCX + cells in the combination groupwas increased by approximately 35% compared with that in the irradiation group ( P=0.038). The number of BrdU +/NeuN + cells in the combination group was increased by approximately 15% than that in the irradiation group ( P>0.05). The number of Iba-1 + cells in the irradiation plus terazosin group was decreased by 49% compared with that in the irradiation group ( P=0.036). Conclusion:Terazosin may reduce the hippocampal juvenile neuron loss and inhibit neuroinflammation via microglia activation, which can alleviate WBI-induced cognitive dysfunction to a certain extent.

Objective:To explore the correlation between socioeconomic status (SES) and diabetic kidney disease (DKD) in patients with type 2 diabetes (T2D).Methods:A total of 276 T2D patients admitted to the Second Affiliated Hospital of Nanjing Medical University from January to June 2020 were enrolled in this cross-sectional study. The estimated glomerular filtration rate (eGFR) was calculated according to the urinary albumin/creatinine ratio (UACR) and the chronic kidney disease epidemiology collaboration equation(CKD-EPI formula) based on serum creatinine. The patients were divided into simple T2D group (184 cases) and DKD group (92 cases). Collect demographic and laboratory examination data, record education, income and occupation, and calculate standardized SES scores. According to SES scores, subjects were divided in three levels: SES≤9, SES≥10-≤12, and SES≥13. Student's t test was used for comparison of measurement data with normal distribution between two groups, and one-way ANOVA was used for comparison between multiple groups. Non-normal distribution was represented by M( Q1, Q3), and rank-sum test was used for comparison between groups. Counting data were expressed as frequency or percentage, and chi-square test was used for comparison between groups. Bofferoni test was further used for pairwise comparison of indicators with statistical significance among multiple groups. Spearman correlation analysis was used to analyze the correlation between variables. The risk factors were analyzed by binary Logistic regression. Results:The age of the subjects was (53.37±10.68) years, men accounted for 55.8% (154/276), the duration of diabetes was 60.00 (12.00, 134.00) months, and eGFR was (97.56±21.15) mL/(min·1.73 m 2). In simple T2D group and DKD group, prevalence of hypertension were 39.7% (73/184) and 57.6% (53/92), systolic blood pressure were (129.43±14.92) mmHg and (139.29±17.61) mmHg, diastolic blood pressure were (81.86±10.06) mmHg and (87.74±11.19) mmHg, serum albumin were (45.74±4.15) g/L and (43.99±5.05) g/L, triglycerides were (1.82±1.24) mmol/L and (2.64±2.92) mmol/L, high density lipoprotein cholesterol were (1.17±0.37) mmol/L and (1.07±0.26) mmol/L, serum uric acid were (298.44±90.73) μmol/L and (336.22±94.01) μmol/L, serum creatinine were (62.83±14.45) μmol/L and (87.75±57.37) μmol/L, eGFR were (102.6±14.28) mL/(min·1.73 m 2) and (87.47±28.04) mL/(min·1.73 m 2), UACR were (7.60 (4.63, 13.15)) mg/g and (93.95 (47.25, 310.25)) mg/g. Prevalence of hypertension, systolic blood pressure, diastolic blood pressure, triglycerides, serum uric acid, serum creatinine, UACR in DKD group were higher than those in simple T2D group. Serum albumin, high density lipoprotein cholesterol and eGFR in DKD group were lower than those in simple T2D group. There was significant difference between the two groups ( χ2=7.95, t values were 4.87, 4.40, 3.04, 3.26, 2.30, 3.22, 5.56, 5.95, Z=13.07, P values were 0.005, <0.001, <0.001, 0.003, 0.001, 0.022, 0.001, <0.001, <0.001, and <0.001, respectively). The number of males in the three groups with SES ≥13 group, SES≥10-≤12 group, SES ≤9 group were 61 (81.3%, 61/75), 55 (59.8%, 55/92), 38 (34.9%, 38/109), respectively. The number of cases with smoking history were 42 (56.0%, 42/75), 41 (44.6%, 41/92), 35 (32.1%, 35/109), respectively. The number of cases with drinking history were 38 (50.7%, 38/75), 32 (34.8%, 32/92), 26 (23.9%, 26/109), respectively. The ages were (47.77±10.76), (52.76±11.22), (57.74±7.96) years old, respectively. Body mass index (BMI) were (26.17±3.87), (24.96±3.93), (24.27±4.89) kg/m 2, respectively. High density lipoprotein cholesterol (HDL) were (1.03±1.03), (1.16±0.41), (1.21±0.32) mmol/L, respectively. Serum uric acid were (336.56±82.05), (293.78±94.78), (307.99±96.53) μmol/L, respectively. EGFR were (105.03±19.72), (99.77±19.44), (90.57±21.49) mL/(min·1.73 m 2),respectively.The difference between groups were statistically significant (χ 2=39.79, 10.55, 14.08, F=22.69, 4.03, 6.20, 4.53, 12.02, P values were <0.001, 0.005, 0.001, <0.001, 0.019, 0.002, 0.012, and <0.001, respectively). Pairwise comparison shows that male and eGFR in SES ≤9 group were lower than those in SES ≥13 group and SES≥10-≤12 group, age in SES ≤9 group was higher than that in SES ≥13 group and SES≥10-≤12 group. The difference was statistically significant (all P<0.05). Smoking history, alcohol history and BMI in SES ≤9 group were lower than those in SES ≥13 group, and the high density lipoprotein cholesterol in SES ≤9 were higher than that in SES ≥13 group. The difference was statistically significant (all P<0.05). Male, alcohol history and serum uric acid in SES≥10-≤12 group were lower than those in SES ≥13 group, and age and high density lipoprotein cholesterol in SES≥10-≤12 group were higher than those in SES ≥13 group. The difference was statistically significant (all P<0.05). Spearman correlation analysis showed that SES in T2D was positively correlated with male, smoking history, alcohol history, BMI, serum uric acid and eGFR ( r values were 0.38, 0.20, 0.24, 0.16, 0.13 and 0.31, P values were <0.001, 0.001, <0.001, 0.008, 0.028, and <0.001, respectively), and negatively correlated with age, high density lipoprotein cholesterol and UACR ( r values were -0.35, -0.24 and -0.14, P values were <0.001, <0.001, and 0.017, respectively). Logistic regression analysis showed that SES (OR=2.71,95% CI:1.10-6.68, P=0.031) was associated with T2DM combined with DKD. The risk of developing DKD increased when the SES was ≤9. Conclusion:The SES in patients with type 2 diabetes is closely related to DKD. Low SES may be a new risk factor for DKD in type 2 diabetic patients.