ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

Objective To study the effects of antibiotics and high-fat diet on energy metabolism and the browning of white adipose tissue (WAT) and brown adipose tissue (BAT) in mice, so as to provide new ideas for the possible mechanism of adipose tissue in the prevention and treatment of obesity. Methods A total of 80 10-week-old C57BL/6 male mice were fed with normal diet in the early stage, and the antibiotic gavage group (AG) and antibiotic high-fat group (AFG) were given mixed antibiotics by gavage. The blank group (BG) and the high-fat diet group (FG) were given normal saline intragastric solution for 2 weeks, and after the gavage operation, the FG group and the AFG group were given high-fat diet for obesity modeling, and the BG group and AG group continued to be fed with normal diet for 8 weeks (N=20). After the experiment, each group was injected with β3-adrenergic receptor agonists for 5 days, and the high-fat/ordinary diet remained unchanged. At the end of the experiment, basal metabolic rate (BMR), fasting blood glucose (FBG) and rectal temperature were measured, and feces, blood, subcutaneous white fat, epididymis and brown adipose tissue in the scapular area of mice were collected. The automatic biochemical analyzer was used to determine the blood biochemical indexes; reverse transcription polymerase chain reaction (RT-qPCR) was used to measure the expression of genes related to browning of WAT and BAT adipose tissue, respectively. Real-time quantitative polymerase chain reaction (qPCR) was used to determine the expression of WAT mitochondrial DNA (mt DNA). Results From the 4th week to the end of the experiment, the weight of the AFG group was significantly higher than that of the AG group and significantly lower than that of the FG group (P<0.05). The body weight, organ coefficient, serum TC level, rectal temperature and WAT cell diameter in the AFG group were significantly higher than those in the AG group. The serum levels of FBG, TC and LDL in the AFG group were significantly lower than those in the FG group (P<0.05). The overall BMR(mlO2/h) FG group was significantly higher than that of BG group, and the AFG group was significantly higher than that of AG. BMR per unit body weight (mlO2/h/g) AFG was significantly higher than that of FG group (P<0.05). The expressions of RIP140, PPAR-γ and UCP-1 in BAT in the AFG group were significantly higher than those in the FG group, and the mt DNA copy number of WAT in the AFG group was significantly higher than that in the FG group (P<0.05). Conclusion Antibiotic intervention can up-regulate the expression of brown fat-related genes in high-fat diet mice, increase brown fat activity, increase the relative mitochondrial number of white fat, increase the level of browning of white fat, promote thermogenesis, increase the BMR per unit body weight of adult obese mice, and then improve the overall energy metabolism of the body, and slow down the weight gain induced by high-fat diet to a certain extent.

Objective To observe the effect of omeprazole enteric-coated capsules on clinical symptoms and serum inflammatory factor levels in children with chronic gastritis and peptic ulcer.Methods Children with chronic gastritis and peptic ulcer were divided into treatment group and control group by random number table method.The control group was given triple therapy of ranitidine hydrochloride tablets,amoxicillin and clarithromycin,while the treatment group was treated with omeprazole enteric-coated capsules combined with amoxicillin and clarithromycin.Clinical efficacy,symptom relief time,and changes in serum motilin(MOT),gastrin(GAS)and inflammatory factors[interlrukin-6(IL-6)and interlrukin-8(IL-8)]were compared between the two groups.Results There were 48 cases in treatment group and 48 cases in control group.After treatment,the total effective rates in treatment group and control group were 93.74％(45 cases/48 cases)and 85.42％(41 cases/48 cases),with significant difference(P＜0.05).After treatment,the disappearance time of ulcer induced pain in treatment group and control group were(1.51±0.26)and(2.08±0.42)d;the disappearance time of acid regurgitation were(2.29±0.40)and(2.93±0.33)d;the disappearance time of burning sensation were(2.37±0.21)and(2.85±0.54)d;the length of hospital stay were(6.21±1.07)and(6.94±1.25)d;serum MOT levels were(298.48±35.15)and(273.58±31.25)pg·mL-1;serum GAS levels were(167.28±19.46)and(128.32±18.61)ng·L-1;IL-6 levels were(58.67±5.39)and(76.14±6.63)mg·mL-1;IL-8 levels were(50.08±5.16)and(58.68±5.49)mg·mL-1.The above indexes were significantly different between control group and treatment group(all P＜0.05).The total incidence of adverse drug reactions in treatment group and control group were 8.33％and 12.50％,with no statistical significance(P＞0.05).Conclusion Omeprazole enteric-coated capsules in the treatment of children with chronic gastritis and peptic ulcer can effectively alleviate various clinical symptoms and improve clinical efficacy.At the same time,it can lower serum levels of inflammatory factors and improve inflammation,with good effect.

This study was aimed at comparing performance differences among three metagenomic sequencing platforms,MGISEQ-2000,Illumina NextSeq 2000,and Ion GeneStudio S5 Plus,to optimize the sequencing process for trace samples.The three sequencing platforms were used to perform high-throughput sequencing on DNA standards and simulated samples.Through analysis of the quality of raw data and microbial detection capabilities,systematic differences among platforms were compared.The sequencing results were optimized for trace samples by incorporation of exogenous nucleic acids during the li-brary preparation process.In terms of data output per batch and base quality,MGISEQ-2000 surpassed the other two plat-forms.Illumina NextSeq 2000 had the lowest proportion of duplicate reads,whereas Ion GeneStudio S5 Plus had the highest proportion,and significant differences were observed across platforms(P＜0.001).In sequencing uniformity,MGISEQ-2000 and Illumina NextSeq 2000 were superior to Ion GeneStudio S5 Plus.MGISEQ-2000 provided a substantial advantage in microbial detection capability(P＜0.001),but the advantage diminished with decreasing bacterial fluid concentration.Ion GeneStudio S5 Plus had the shortest duration for single-batch sequencing.Moreo-ver,for trace samples with DNA content ≤0.05 ng,the experi-mental group(with added exogenous nucleic acids)achieved a higher number of reads than the control group(without exogenous nucleic acids),with a 11.09±8.03 fold increase.In conclu-sion,the different sequencing platforms each had advantages and disadvantages,thus allowing researchers to choose the appro-priate platform according to specific needs.Furthermore,the addition of exogenous nucleic acids improved the microorganism detection efficiency,and provided better support for subsequent diagnosis and evaluation of results.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Objective To explore the effect of mixed antibiotics on the intestinal flora of mice to affect the immune regulation of the body,explore the role of intestinal flora in the development of obesity,and provide new ideas and ways for the prevention and treatment of obesity.Methods Seventy-two 10-week-old male C57BL/6 mice were randomly divided into blank control(Ctrl)group,high-fat diet(HF)group,antibiotic(ABX)group,and combined(COMB)group(n=18).At the first 2 weeks(lavage intervention weeks),Ctrl and HF group were given normal saline gavage;ABX and COMB group were given mixed antibiotics gavage,and the gavage volume was 0.2 mL/animal/day.For the following 8 weeks(feeding weeks),Ctrl and ABX group were fed with ordinary diet,HF and COMB group were fed with high-fat diet.Body weight was measured weekly,and fasting blood glucose was measured before and after gavage,and at the 4th and 8th week of feeding.Oral glucose tolerance test was performed at the end of the experiment.The organ coefficient was measured and the cell morphology of white and brown adipose tissue was observed.Serum was collected for the determination of free fatty acid,high-density lipoprotein,low-density lipoprotein,triglyceride,and total cholesterol.Serum TNF-α,IL-10,IL-4,IL-13,IL-33 and MCP-1 was detected by ELISA.The stool of mice was collected for second generation sequencing.Results High-fat diet increased body weight,serum total cholesterol,low-density lipoprotein,IL-13,IL-33,TNF-α,MCP-1 content,and decreased glucose tolerance and organ coefficient in mice(P＜0.05).From the first feeding week to the end of the experiment,body weight in COMB group was significantly lower than that in HF group(P＜0.05).The level of glucose tolerance,serum total cholesterol,low density lipoprotein,IL-13,IL-33,TNF-α and MCP-1 in COMB group was lower than those in HF group(P＜0.05).The α diversity of intestinal flora in ABX group was lower than that in Ctrl group(P＜0.05).Congestion and bleeding in WAT were obvious in HF group,but not in COMB group.The microbial community composition of ABX and HF group was similar to that of Ctrl and COMB group,respectively.Conclusion High-fat diet induces obesity,disorder of glucose and lipid metabolism and inflammation in mice.Short-term mixed antibiotic use can regulate the intestinal flora of mice,mediate increased expression of related anti-inflammatory factors,up-regulate host immunity,and improve glucose and lipid metabolism in mice.

Objective:To establish an ultrasound radiomics model by integrating clinical, pathological, and conventional ultrasound features with radiomics characteristics, and to explore its clinical value in predicting endocrine resistance in hormone receptor(HR)-positive breast cancer.Methods:A retrospective analysis was performed on 478 patients with HR-positive breast cancer from January 2017 to December 2021 in the Second Affiliated Hospital of Harbin Medical University, of which 430 were resistant and 48 were sensitive. The clinical, pathological and immunohistochemical data and ultrasound images were collected.Firstly, the propensity score was used to process and match the data. Secondly, Logistic regression was used to screen clinical, pathological, and conventional ultrasound features associated with endocrine resistance. Then, PyRadiomics was used to extract the radiomic features of grayscale ultrasound images, and a series of methods such as Lasso regression were used to screen the radiomic features related to endocrine resistance. Seven machine learning methods such as random forest were used to build a radiomics model. Finally, clinical, pathological and ultrasound features were added to establish a clinical pathological model, a clinical pathological ultrasound model, a clinical pathological radiomics model and a combined model of the four features, and the model effectiveness was evaluated.Results:①Propensity score matching: 96 patients were matched, including 48 patients in the drug-resistant group and 48 patients in the sensitive group. ②Screening clinical pathological conventional ultrasound features related to endocrine resistance: lymph node metastasis, tumor diameter, posterior echo attenuation, and growth orientation were independent predictors of endocrine resistance (all P<0.05). ③Screening radiomics features related to endocrine resistance: 18 features such as Dependence Entropy. ④Establishing radiomics model: the machine learning model of random forest method (AUC=0.80) performed best. ⑤Radiomics model integrating clinical, pathological and conventional ultrasound features: the AUC of the clinical pathological model was 0.70, the AUC of the clinical pathological ultrasound model was 0.78, the AUC of the clinical pathological radiomics model was 0.82, and the AUC of the combined model was 0.86. Conclusions:The radiomics model established by the random forest method performs best in predicting endocrine resistance in HR-positive breast cancer. The model that integrates multiple features performs best in assessing endocrine resistance.which is expected to provide an objective basis for clinicians to predict endocrine resistance in HR-positive breast cancer.

The major vascular complications associated with diabetes make the management of diabetic mellitus erectile dysfunction (DMED) a challenging endeavor. Notable factors contributing to DMED include oxidative stress, nitric oxide (NO)/cyclic guanosine monophosphate (cGMP) pathway activation, and apoptosis, while nitro-oleic acid (NO2-OA) has been shown to be beneficial in treating these aspects of this condition. We, herein, investigated the effects and possible mechanisms of NO2-OA on erectile function as assessed in a streptozotocin-induced rat model of diabetes. Our results revealed that the erectile function of DMED rats was significantly impaired compared with that of the control group. However, in response to 4 weeks of NO2-OA treatment, there was an improvement in erectile function. The expression of oxidative stress-related indicators was significantly increased and the NO/cGMP pathway was impaired in the DMED group. The expression of proapoptotic factors was increased, while that of antiapoptotic factors was decreased in the DMED group. Moreover, the cell morphology in the cavernous tissue of the DMED group also changed adversely. NO2-OA treatment significantly reversed all these changes observed in the DMED group. In conclusion, NO2-OA treatment partially improved erectile function in DMED rats through mechanisms that included inhibition of oxidative stress, activation of the NO/cGMP pathway, and a reduction in apoptosis.

Advances in novel drugs, therapies, and genetic techniques have revolutionized the diagnosis and treatment of cancers, substantially improving cancer patients' prognosis. Although rare tumors account for a non-negligible number, the practice of precision medicine and development of novel therapies are largely hampered by many obstacles. Their low incidence and drastic regional disparities result in the difficulty of informative evidence-based diagnosis and subtyping. Sample exhaustion due to difficulty in diagnosis also leads to a lack of recommended therapeutic strategies in clinical guidelines, insufficient biomarkers for prognosis/efficacy, and inability to identify potential novel therapies in clinical trials. Herein, by reviewing the epidemiological data of Chinese solid tumors and publications defining rare tumors in other areas, we proposed a definition of rare tumor in China, including 515 tumor types with incidences of less than 2.5/100 000 per year. We also summarized the current diagnosis process, treatment recommendations, and global developmental progress of targeted drugs and immunotherapy agents on the status quo. Lastly, we pinpointed the current recommendation chance for patients with rare tumors to be involved in a clinical trial by NCCN. With this informative report, we aimed to raise awareness on the importance of rare tumor investigations and guarantee a bright future for rare tumor patients.
Humans ; Neoplasms/pathology* ; Biomarkers ; Prognosis ; Oceans and Seas ; China/epidemiology*

OBJECTIVES: To investigate the clinical treatment outcomes and the changes of the outcomes over time in extremely preterm twins in Guangdong Province, China. METHODS: A retrospective analysis was performed for 269 pairs of extremely preterm twins with a gestational age of <28 weeks who were admitted to the department of neonatology in 26 grade A tertiary hospitals in Guangdong Province from January 2008 to December 2017. According to the admission time, they were divided into two groups: 2008-2012 and 2013-2017. Besides, each pair of twins was divided into the heavier infant and the lighter infant subgroups according to birth weight. The perinatal data of mothers and hospitalization data of neonates were collected. The survival rate of twins and the incidence rate of complications were compared between the 2008-2012 and 2013-2017 groups. RESULTS: Compared with the 2008-2012 group, the 2013-2017 group (both the heavier infant and lighter infant subgroups) had lower incidence rates of severe asphyxia and smaller head circumference at birth (P<0.05). The mortality rates of both of the twins, the heavier infant of the twins, and the lighter infant of the twins were lower in the 2013-2017 group compared with the 2008-2012 group (P<0.05). Compared with the 2008-2012 group, the 2013-2017 group (both the heavier infant and lighter infant subgroups) had lower incidence rates of pulmonary hemorrhage, patent ductus arteriosus (PDA), periventricular-intraventricular hemorrhage (P-IVH), and neonatal respiratory distress syndrome (NRDS) and a higher incidence rate of bronchopulmonary dysplasia (P<0.05). CONCLUSIONS There is a significant increase in the survival rate over time in extremely preterm twins with a gestational age of <28 weeks in the 26 grade A tertiary hospitals in Guangdong Province. The incidences of severe asphyxia, pulmonary hemorrhage, PDA, P-IVH, and NRDS decrease in both the heavier and lighter infants of the twins, but the incidence of bronchopulmonary dysplasia increases. With the improvement of diagnosis and treatment, the multidisciplinary collaboration between different fields of fetal medicine including prenatal diagnosis, obstetrics, and neonatology is needed in the future to jointly develop management strategies for twin pregnancy.
Bronchopulmonary Dysplasia/epidemiology* ; Female ; Gestational Age ; Humans ; Infant ; Infant, Extremely Premature ; Infant, Newborn ; Pregnancy ; Respiratory Distress Syndrome, Newborn/epidemiology* ; Retrospective Studies ; Treatment Outcome