OBJECTIVES: To investigate the carriage status of Streptococcus pneumoniae (S.pneumoniae) and Moraxella catarrhalis (M. catarrhalis) in preschool children and the influencing factors for the carriage status. METHODS: The stratified cluster sampling method was used to select 2 031 healthy children from seven kindergartens in Shunde District of Foshan in Guangdong, China. Nasal swabs were collected from all children for the isolation and identification of S. pneumoniae and M. catarrhalis. The carriage status of S. pneumoniae and M. catarrhalis was analyzed in terms of its association with demographic features and hospital- and community-related factors. RESULTS: The carriage rates of S. pneumoniae and M. catarrhalis were 21.81% and 52.44%, respectively among the children. The co-carriage rate of S. pneumoniae and M. catarrhalis was 14.87%. The correspondence analysis showed that the factors such as lower grade, non-local registered residence, living in rural areas, small living area, history of respiratory tract infection but no history of antibiotic use, allergic skin diseases, and no hospital-related exposure history were significantly associated with the co-carriage of S. pneumoniae and M. catarrhalis among the children (P<0.05). CONCLUSIONS Co-carriage of S. pneumoniae and M. catarrhalis can be observed in preschool children. Young age, poor living environment, a history of respiratory tract infection but no history of antibiotic use, allergic skin diseases, and no hospital-related exposure history are important risk factors for the co-carriage of S. pneumoniae and M. catarrhalis in preschool children.
Anti-Bacterial Agents ; Carrier State ; Child, Preschool ; Haemophilus influenzae ; Humans ; Infant ; Moraxella catarrhalis ; Nasopharynx ; Respiratory Tract Infections ; Skin Diseases ; Streptococcus pneumoniae

The ribose and phosphorus contents in Haemophilus influenzae type b (Hib) capsular polysaccharide (CPS) are two important chemical indexes for the development and quality control of Hib conjugate vaccine. A quantitative ¹H- and ³¹P-NMR method using a single internal standard was developed for simultaneous determination of ribose and phosphorus contents in Hib CPS. Hexamethylphosphoramide (HMPA) was successfully utilized as an internal standard in quantitative ¹H-NMR method for ribose content determination. The ribose and phosphorus contents were found to be affected by the concentration of polysaccharide solution. Thus, 15-20 mg·L^-1 was the optimal concentration range of Hib CPS in D₂O solution for determination of ribose and phosphorus contents by this method. The ribose and phosphorus contents obtained by the quantitative NMR were consistent with those obtained by traditional chemical methods. In conclusion, this quantitative ¹H- and ³¹P-NMR method using a single internal standard shows good specificity, accuracy and precision, providing a valuable approach for the quality control of Hib glycoconjugate vaccines.
Haemophilus Vaccines ; Haemophilus influenzae type b ; Phosphorus ; Polysaccharides, Bacterial ; Ribose

Objective:b> To evaluate the immunity persistence five years later after immunization with Haemophilus influenzae type b (Hib) conjugate vaccine in healthy infants/children aged 3 months to 5 years in China. Methods:b> The children were subjects who completed the whole-schedule immunization in the phase Ⅲ clinical trial in Lianshui county of Jiangsu povince was selected for the collection of blood samples at 5 years after vaccination from November to December, 2019. The enzyme-linked immunosorbent assay (ELISA) was used to detect Hib polyribosyl-ribitol-phosphate antibody (anti-Hib-PRP), and the long-term/short-term protection rate, geometric mean concentration (GMC) and geometric mean concentration increase fold (GMFI) of serum anti-Hib-PRP were calculated. Results:b> A total of 580 children were enrolled in this study, of which 158, 207 and 215 belonged to 3-5 month age group, 6-11 month age group and 1-5 year age group, respectively. The short-term (≥0.15 μg/ml)/long-term (≥1.0 μg/ml) protection rates of serum anti-PRP in the three groups after immunization were 89.24%, 90.34% and 98.60%, respectively; the GMC were 3.95 μg/ml, 3.11 μg/ml and 10.01 μg/ml respectively, and the GMFI were 29.04, 11.01 and 3.26 respectively. Conclusions:b> Hib conjugate vaccine can still have good immunogenicity after 5 years of primary immunization in healthy infants/children aged 3 months to 5 years in China.
Child ; Infant ; Humans ; Vaccines, Conjugate ; Haemophilus influenzae type b ; Immunization ; Vaccination ; Antibodies, Bacterial

Periodontal pathogens are the main pathogenic factor of periodontitis. Periodontal pathogens have a large variety of virulence factors such as lipopolysaccharide, fimbriae and proteases, which enables the pathogens to infect periodontal tissues and stimulate the secretion of inflammatory cytokines, causing chronic systemic inflammation. Periodontal pathogens may invade multiple systems such as the circulatory system, immune system, respiratory system and digestive system to cause systematic diseases. Recent studies have shown that periodontal pathogens may have close relations with systemic diseases such as cardiovascular disease, diabetes, rheumatoid arthritis, and cancer. Among the periodontal pathogens, can be found in atherosclerotic plaques to impairing the function of the vascular endothelium; may also increase the level of inflammatory factors such as TNF-α to promote insulin resistance and diabetes. Many of the periodontal pathogens such as , and can be detected in the synovial fluid of rheumatoid arthritis patients, suggesting their involvement in the pathogenesis of rheumatoid arthritis. may cause alterations in the intestinal microbiome in mice and promote the occurrence of intestinal tumors. Herein we review the recent progresses in the relationship between periodontal pathogens and systemic diseases.
Aggregatibacter actinomycetemcomitans ; Animals ; Fusobacterium nucleatum ; Humans ; Insulin Resistance ; Periodontitis ; Porphyromonas gingivalis ; Prevotella intermedia

PURPOSE: Different characteristics of airway microbiome in asthmatics may lead to differential immune responses, which in turn cause eosinophilic or neutrophilic airway inflammation. However, the relationships among these factors have yet to be fully elucidated.METHODS: Microbes in induced sputum samples were subjected to sequence analysis of 16S rRNA. Airway inflammatory phenotypes were defined as neutrophils (>60%) and eosinophils (>3%), and inflammation endotypes were defined by levels of T helper (Th) 1 (interferon-γ), Th2 (interleukin [IL]-5 and IL-13), Th-17 (IL-17), and innate Th2 (IL-25, IL-33, and thymic stromal lymphopoietin) cytokines, inflammasomes (IL-1β), epithelial activation markers (granulocyte-macrophage colony-stimulating factor and IL-8), and Inflammation (IL-6 and tumor necrosis factor-α) cytokines in sputum supernatants was assessed by enzyme-linked immunosorbent assay.RESULTS: The numbers of operational taxonomic units were significantly higher in the mixed (n = 21) and neutrophilic (n = 23) inflammation groups than in the paucigranulocytic inflammation group (n = 19; p < 0.05). At the species level, Granulicatella adiacens, Streptococcus parasanguinis, Streptococcus pneumoniae, Veillonella rogosae, Haemophilus parainfluenzae, and Neisseria perflava levels were significantly higher in the eosinophilic inflammation group (n = 20), whereas JYGU_s levels were significantly higher in the neutrophilic inflammation group compared to the other subtypes (P < 0.05). Additionally, IL-5 and IL-13 concentrations were correlated with the percentage of eosinophils (P < 0.05) and IL-13 levels were positively correlated with the read counts of Porphyromonas pasteri and V. rogosae (P < 0.05). IL-1β concentrations were correlated with the percentage of neutrophils (P < 0.05). had a tendency to be positively correlated with the read count of JYGU_s (P = 0.095), and was negatively correlated with that of S. pneumoniae (P < 0.05).CONCLUSIONS: Difference of microbial patterns in airways may induce distinctive endotypes of asthma, which is responsible for the neutrophilic or eosinophilic inflammation in asthma.
Asthma ; Colony-Stimulating Factors ; Cytokines ; Enzyme-Linked Immunosorbent Assay ; Eosinophils ; Haemophilus parainfluenzae ; Inflammasomes ; Inflammation ; Interleukin-13 ; Interleukin-33 ; Interleukin-5 ; Microbiota ; Necrosis ; Neisseria ; Neutrophils ; Phenotype ; Pneumonia ; Porphyromonas ; Sequence Analysis ; Sputum ; Streptococcus ; Streptococcus pneumoniae ; Veillonella

PURPOSE: The most common cause of acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is respiratory infection. Most studies of bacterial or viral cause in AECOPD have been conducted in Western countries. We investigated bacterial and viral identification rates in AECOPD in Korea. MATERIALS AND METHODS: We reviewed and analyzed medical records of 736 cases of AECOPD at the Korea University Guro Hospital. We analyzed bacterial and viral identification rates and classified infections according to epidemiological factors, such as Global Initiative for Chronic Obstructive Lung Disease stage, mortality, and seasonal variation. RESULTS: The numbers of AECOPD events involving only bacterial identification, only viral identification, bacterial-viral co-identification, and no identification were 200 (27.2%), 159 (21.6%), 107 (14.5%), and 270 (36.7%), respectively. The most common infectious bacteria identified were Pseudomonas aeruginosa (13.0%), Streptococcus pneumoniae (11.4%), and Haemophilus influenzae (5.3%); the most common viruses identified were influenza virus (12.4%), rhinovirus (9.4%), parainfluenza virus (5.2%), and metapneumovirus (4.9%). The bacterial identification rate tended to be higher at more advanced stages of chronic obstructive pulmonary disease (p=0.020 overall, p=0.011 for P. aeruginosa, p=0.048 for S. pneumoniae). Staphylococcus aureus and Klebsiella pneumoniae were identified more in mortality group (p=0.003 for S. aureus, p=0.009 for K. pneumoniae). All viruses were seasonal (i.e., greater prevalence in a particular season; p < 0.050). Influenza virus and rhinovirus were mainly identified in the winter, parainfluenza virus in the summer, and metapneumovirus in the spring. CONCLUSION: This information on the epidemiology of respiratory infections in AECOPD will improve the management of AECOPD using antibiotics and other treatments in Korea.
Anti-Bacterial Agents ; Bacteria ; Epidemiology ; Haemophilus influenzae ; Klebsiella pneumoniae ; Korea ; Medical Records ; Metapneumovirus ; Mortality ; Orthomyxoviridae ; Paramyxoviridae Infections ; Prevalence ; Pseudomonas aeruginosa ; Pulmonary Disease, Chronic Obstructive ; Respiratory Tract Infections ; Rhinovirus ; Seasons ; Staphylococcus aureus ; Streptococcus pneumoniae

Among various vaccines against Actinobacillus pleuropneumoniae, subunit vaccines using recombinant proteins of ApxI, ApxII, and ApxIII as vaccine antigens have shown good efficacy in terms of safety and protection. Therefore, subunit vaccines are being applied worldwide and the development of new subunit vaccines is actively being conducted. To evaluate the efficacy of the subunit vaccines, it is important to measure immune responses to each Apx toxin separately. However, the cross-reactivity of antibodies makes it difficult to measure specific immune reactivity to each toxin. In the present study, specific antigen regions among the toxins were identified and cloned to solve this problem. The antigenicity of each recombinant protein was demonstrated by Western blot. Using the recombinant proteins, we developed enzyme-linked immunosorbent assay (ELISA) methods that can detect specific immune responses to each Apx toxin in laboratory guinea pigs. We suggest that the ELISA method developed in this study can be an important tool in the evaluation of vaccine efficiency and vaccine development.
Actinobacillus pleuropneumoniae ; Actinobacillus ; Animals ; Antibodies ; Blotting, Western ; Clone Cells ; Enzyme-Linked Immunosorbent Assay ; Guinea Pigs ; Methods ; Recombinant Proteins ; Vaccines ; Vaccines, Subunit

OBJECTIVE: To study the bacteriologic profile and drug resistance of respiratory infection in children, and to provide a basis for etiological diagnosis and rational use of antimicrobial agents. METHODS: A retrospective analysis was performed for 15 047 children who attended the hospital due to respiratory infection from January 2016 to December 2018. Their sputum samples were collected, and the Phoenix-100 automatic microbial identification system was used for the identification and drug sensitivity analysis of the isolated pathogenic bacteria. RESULTS: Of all 17 174 sputum samples detected, there were 2 395 positive samples, with a positive rate of 13.95%; a total of 2 584 strains of pathogenic bacteria were isolated, among which there were 1 577 (61.03%) Gram-negative strains, 967 (37.42%) Gram-positive strains, and 40 (1.55%) fungal strains. The most common pathogen was Haemophilus influenzae (33.90%), followed by Streptococcus pneumoniae (33.55%), Moraxella catarrhalis (19.20%), and Staphylococcus aureus (3.64%). Among the 2 331 children with positive infection, 251 had mixed infection, most commonly with Haemophilus influenzae and Streptococcus pneumoniae. The detection rate of pathogenic bacteria was higher in winter and spring and lower in summer and autumn. There was a significant difference in the detection rate of pathogenic bacteria between different age groups (P<0.05), with the highest detection rate in infants aged 1 month to <1 year. Streptococcus pneumoniae and Staphylococcus aureus had a sensitivity rate of 100% to vancomycin, linezolid, and teicoplanin, and Haemophilus influenzae had a lower sensitivity rate to ampicillin, compound sulfamethoxazole and cefuroxime and a higher sensitivity rate to other drugs. CONCLUSIONS Haemophilus influenzae, Streptococcus pneumoniae, and Moraxella catarrhalis are the main pathogenic bacteria of respiratory infection in children, and mixed infection is the most common type of infection. The detection rate of pathogenic bacteria varies across seasons and ages. Different pathogenic bacteria have different features of drug resistance, and antibiotics should be selected based on drug sensitivity results.
Anti-Bacterial Agents ; Child ; Drug Resistance ; Haemophilus influenzae ; Humans ; Infant ; Infant, Newborn ; Microbial Sensitivity Tests ; Moraxella catarrhalis ; Respiratory Tract Infections ; Retrospective Studies

OBJECTIVE: To study the features of pathogens in children with lower respiratory tract infection. METHODS: A total of 108 children who were hospitalized due to lower respiratory tract infection and underwent fiber bronchoscopy between January 2017 and June 2018 were enrolled. Bronchoalveolar lavage fluid samples were collected. Multiple quantitative real-time PCR was performed to detect pathogens. RESULTS: Of the108 children, 85 (78.7%) were found to have pathogens, among whom 52 (48.1%) had single pathogen infection and 33 (30.6%) had multiple pathogen infections. Mycoplasma pneumoniae was detected in 38 children (35.2%), and was the most common pathogen. The children aged 36 - <72 months had the highest detection rate of Mycoplasma pneumoniae. Both Streptococcus pneumoniae and Haemophilus influenzae were detected in 29 children (26.9%) and Streptococcus pneumoniae was mainly detected in children aged <24 months. Each of Acinetobacter baumannii, Candida albicans and Klebsiella pneumoniae was detected in 3 children. Among the 31 children with bronchopneumonia, 9 were found to have Haemophilus influenza, with the highest detection rate of 29%. Among the 34 children with lobar pneumonia, 22 were found to have Mycoplasma pneumoniae, with the highest detection rate of 65%. Among the 22 children with bronchial foreign bodies and bronchopneumonia, 10 were found to have Streptococcus pneumoniae, with the highest detection rate of 45%. CONCLUSIONS In children with lower respiratory tract infection, Mycoplasma pneumoniae is the most common pathogen, followed by Streptococcus pneumoniae and Haemophilus influenzae. There are differences in the detection rates of pathogens between children with different ages and different types of lower respiratory tract infection.
Bronchoalveolar Lavage Fluid ; Child ; Child, Preschool ; Haemophilus influenzae ; Humans ; Infant ; Mycoplasma pneumoniae ; Respiratory Tract Infections ; Streptococcus pneumoniae

Child ; Consensus ; Haemophilus Infections ; diagnosis ; therapy ; Haemophilus influenzae ; Humans ; Infant