1.Distribution of Microbiota in Fine Particulate Matter Particles in Guangzhou, China.
Shi Rui DONG ; Ya Jing HAN ; Jing WU ; Cheng Li ZENG ; Ke Hui ZHU ; Xiao Jing CHEN ; Yu Mei LIU ; Xiao Qian ZOU ; Shao Ling ZHENG ; Zi Hao WEN ; Dan Dan LIU ; Yao WANG ; Xiu Xia HUANG ; Xiu Ben DU ; Jian Lei HAO ; Huan Yu WANG ; Shu GUO ; Chun Xia JING ; Guang YANG
Biomedical and Environmental Sciences 2020;33(5):306-314
Objective:
High PM concentration is the main feature of increasing haze in developing states, but information on its microbial composition remains very limited. This study aimed to determine the composition of microbiota in PM in Guangzhou, a city located in the tropics in China.
Methods:
In Guangzhou, from March 5 to 10 , 2016, PM was collected in middle volume air samplers for 23 h daily. The 16S rDNA V4 region of the PM sample extracted DNA was investigated using high-throughput sequence.
Results:
Among the Guangzhou samples, , , , , and were the dominant microbiota accounting for more than 90% of the total microbiota, and was the dominant gram-negative bacteria, accounting for 21.30%-23.57%. We examined the difference in bacterial distribution of PM between Beijing and Guangzhou at the genus level; was found in both studies, but was only detected in Guangzhou.
Conclusion
In conclusion, the diversity and specificity of microbial components in Guangzhou PM were studied, which may provide a basis for future pathogenicity research in the tropics.
Air Microbiology
;
Air Pollutants
;
analysis
;
Bacteria
;
classification
;
isolation & purification
;
China
;
Cities
;
Environmental Monitoring
;
Microbiota
;
Particle Size
;
Particulate Matter
;
analysis
;
RNA, Bacterial
;
analysis
;
RNA, Ribosomal, 16S
;
analysis
3.An insoluble polysaccharide from the sclerotium of Poria cocos improves hyperglycemia, hyperlipidemia and hepatic steatosis in ob/ob mice via modulation of gut microbiota.
Shan-Shan SUN ; Kai WANG ; Ke MA ; Li BAO ; Hong-Wei LIU
Chinese Journal of Natural Medicines (English Ed.) 2019;17(1):3-14
Metabolic syndrome characterized by obesity, hyperglycemia and liver steatosis is becoming prevalent all over the world. Herein, a water insoluble polysaccharide (WIP) was isolated and identified from the sclerotium of Poria cocos, a widely used Traditional Chinese Medicine. WIP was confirmed to be a (1-3)-β-D-glucan with an average Mw of 4.486 × 10 Da by NMR and SEC-RI-MALLS analyses. Furthermore, oral treatment with WIP from P. cocos significantly improved glucose and lipid metabolism and alleviated hepatic steatosis in ob/ob mice. 16S DNA sequencing analysis of cecum content from WIP-treated mice indicated the increase of butyrate-producing bacteria Lachnospiracea, Clostridium. It was also observed that WIP treatment elevated the level of butyrate in gut, improved the gut mucosal integrity and activated the intestinal PPAR-γ pathway. Fecal transplantation experiments definitely confirmed the causative role of gut microbiota in mediating the benefits of WIP. It is the first report that the water insoluble polysaccharide from the sclerotium of P. cocos modulates gut microbiota to improve hyperglycemia and hyperlipidemia. Thereby, WIP from P. cocos, as a prebiotic, has the potential for the prevention or cure of metabolic diseases and may elucidate new mechanism for the efficacies of this traditional herbal medicine on the regulation of lipid and glucose metabolism.
Animals
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Bacteria
;
classification
;
genetics
;
isolation & purification
;
metabolism
;
Butyrates
;
metabolism
;
Fatty Liver
;
drug therapy
;
Fungal Polysaccharides
;
chemistry
;
pharmacology
;
therapeutic use
;
Gastrointestinal Microbiome
;
drug effects
;
genetics
;
Hyperglycemia
;
drug therapy
;
Hyperlipidemias
;
drug therapy
;
Intestines
;
drug effects
;
microbiology
;
Male
;
Metabolic Syndrome
;
drug therapy
;
Mice
;
Mice, Obese
;
Prebiotics
;
Wolfiporia
;
chemistry
4.Correlation of Gut Microbiome Between ASD Children and Mothers and Potential Biomarkers for Risk Assessment.
Ning LI ; Junjie YANG ; Jiaming ZHANG ; Cheng LIANG ; Ying WANG ; Bin CHEN ; Changying ZHAO ; Jingwen WANG ; Guangye ZHANG ; Dongmei ZHAO ; Yi LIU ; Lehai ZHANG ; Jun YANG ; Guimei LI ; Zhongtao GAI ; Lei ZHANG ; Guoping ZHAO
Genomics, Proteomics & Bioinformatics 2019;17(1):26-38
Variation of maternal gut microbiota may increase the risk of autism spectrum disorders (ASDs) in offspring. Animal studies have indicated that maternal gut microbiota is related to neurodevelopmental abnormalities in mouse offspring, while it is unclear whether there is a correlation between gut microbiota of ASD children and their mothers. We examined the relationships between gut microbiome profiles of ASD children and those of their mothers, and evaluated the clinical discriminatory power of discovered bacterial biomarkers. Gut microbiome was profiled and evaluated by 16S ribosomal RNA gene sequencing in stool samples of 59 mother-child pairs of ASD children and 30 matched mother-child pairs of healthy children. Significant differences were observed in the gut microbiome composition between ASD and healthy children in our Chinese cohort. Several unique bacterial biomarkers, such as Alcaligenaceae and Acinetobacter, were identified. Mothers of ASD children had more Proteobacteria, Alphaproteobacteria, Moraxellaceae, and Acinetobacter than mothers of healthy children. There was a clear correlation between gut microbiome profiles of children and their mothers; however, children with ASD still had unique bacterial biomarkers, such as Alcaligenaceae, Enterobacteriaceae, and Clostridium. Candidate biomarkers discovered in this study had remarkable discriminatory power. The identified patterns of mother-child gut microbiome profiles may be important for assessing risks during the early stage and planning of personalized treatment and prevention of ASD via microbiota modulation.
Adult
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Animals
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Autism Spectrum Disorder
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microbiology
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Bacteria
;
classification
;
genetics
;
isolation & purification
;
Biomarkers
;
Child
;
Child, Preschool
;
Cohort Studies
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Female
;
Gastrointestinal Microbiome
;
Humans
;
Male
;
Mice
;
Mothers
;
Risk Assessment
5.Bacterial culture of donor semen: Analysis of results.
Ling WAN ; Ling CHEN ; Jing HUANG ; Ji-Gao YANG ; Da-Guang SUN ; Hong WANG ; Xiao-Yan ZHOU ; Guo-Ning HUANG ; Hui-Qiang SHENG
National Journal of Andrology 2018;24(6):504-508
ObjectiveTo investigate bacterial infection and the distribution of different bacterial species in the donor semen and the influence of different bacterial counts on semen quality.
METHODSBacterial colonies in the semen samples from 1 126 donors were counted with the Synbiosis Protocol 3 Automatic Colony Counter and the bacterial species with a colony count ≥10⁴ cfu/ml identified with the VITEK2 Compact Automatic Biochemical Analyzer. The Makler Sperm Counting Board was used to examine the semen quality of the semen samples with a colony count = 0 cfu/ml (n = 22, group A), those with a colony count <10⁴ cfu/ml (n = 22, group B) and those with a colony count ≥10⁴ cfu/ml (n = 22, group C). Univariate analysis was employed for comparison of semen quality among different groups.
RESULTSAmong the 1 126 donor semen samples cultured, 5 (0.44%) showed mixed bacterial contamination and 993 (88.58%) showed none but with growth of a certain species of bacteria, 2.22% (22/993) with a colony count ≥10⁴ cfu/ml, mainly including Streptococcus bovis, tiny bacilli, Staphylococcus epidermis, and Staphylococcus aureus, among which gram-positive and gram-negative bacteria accounted for 95.45% (21/22) and 4.54% (1/22), respectively. Compared with group A, groups B and C manifested significantly reduced total sperm count ([567.5 ± 327.6] vs [421.9 ± 155.9] and [389.9 ± 110.6] × 106 per ejaculate, P <0.05) and percentage of progressively motile sperm ([65.0 ± 6.5] vs [61.0 ± 3.5] and [61.6 ± 4.3] %, P <0.05). There were no statistically significant differences among the three groups in the semen liquefaction time, semen pH value, total sperm motility or percentage of morphologically normal sperm (P > 0.05). Of the 284 randomly selected semen samples, 34 (11.97%) were found positive for Ureaplasma urealyticum (UU) and no significant difference was observed in the semen quality between the UU-positive and UU-negative samples (P> 0.05).
CONCLUSIONSThe bacteria-positive rate is high in the donor semen and the bacterial species are varied, mainly including gram-positive bacteria. Semen quality is reduced with the increased number of bacterial colonies.
Analysis of Variance ; Bacteria ; classification ; isolation & purification ; Bacterial Load ; Humans ; Male ; Semen ; microbiology ; Semen Analysis ; Sperm Count ; Sperm Motility ; Spermatozoa ; Tissue Donors ; Ureaplasma urealyticum
6.Trends of foodborne diseases in China: lessons from laboratory-based surveillance since 2011.
Jikai LIU ; Li BAI ; Weiwei LI ; Haihong HAN ; Ping FU ; Xiaochen MA ; Zhenwang BI ; Xiaorong YANG ; Xiuli ZHANG ; Shiqi ZHEN ; Xiaoling DENG ; Xiumei LIU ; Yunchang GUO
Frontiers of Medicine 2018;12(1):48-57
Foodborne disease is one of the most important public health issues worldwide. China faces various and unprecedented challenges in all aspects of the food chain. Data from laboratory-based foodborne disease surveillance systems from 2013 to 2016, as well as different regions and ages, can be found along with differences in the patterns of pathogens detected with diverse characteristics. Vibrio parahaemolyticus has been the leading cause of infectious diarrhea in China, especially among adults in coastal regions. Salmonella has been a serious and widely distributed pathogen responsible for substantial socioeconomic burden. Shigella was mostly identified in Northwest China and the inland province (Henan) with less-developed regions among children under 5 years. Data from foodborne disease outbreak reporting system from 2011 to 2016 showed that poisonous animals and plant factors responsible for most deaths were poisonous mushrooms (54.7%) in remote districts in southwest regions. The biological hazard that caused most cases reported (42.3%) was attributed to V. parahaemolyticus, the leading cause of foodborne outbreaks. In this review, we summarize the recent monitoring approach to foodborne diseases in China and compare the results with those in developed countries.
Bacteria
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classification
;
isolation & purification
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China
;
epidemiology
;
Disease Outbreaks
;
Food Microbiology
;
Foodborne Diseases
;
epidemiology
;
microbiology
;
Forecasting
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Humans
;
Laboratories
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Mushroom Poisoning
;
epidemiology
;
Population Surveillance
;
Public Health
7.Nosocomial Infection Surveillance in a Tuberculosis Specialized Hospital in China.
Zhong Yao XIE ; Guo Fang HUANG ; Hui GAO ; Yu Qing CHI ; Yan Xia WANG ; Yu PANG ; Jing Ping WANG
Biomedical and Environmental Sciences 2017;30(9):691-694
Nosocomial infections (NIs) are a critical issue affecting the quality of healthcare. In this study, we performed a retrospective study to explore the incidence rates, mortality rates, and microbial spectrum of NIs in Beijing Chest Hospital, a tuberculosis (TB) specialized hospital in China. Our data demonstrate that the overall incidence rate of inpatients with NIs slightly decreased from 2012 to 2016, which may be associated with the implementation of hand hygiene measures, while the mortality rates associated with NI did not significantly change. In addition, the species distribution of NIs was quite different from that presented in previous reports, and Klebsiella pneumoniae was the most frequently isolated microorganism.
Bacteria
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classification
;
isolation & purification
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Beijing
;
Cross Infection
;
epidemiology
;
microbiology
;
mortality
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Hospitals, Chronic Disease
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Humans
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Infection Control
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Population Surveillance
;
Retrospective Studies
;
Tuberculosis
;
epidemiology
;
therapy
8.Simultaneous Detection of 13 Key Bacterial Respiratory Pathogens by Combination of Multiplex PCR and Capillary Electrophoresis.
Lu Xi JIANG ; ; Hong Yu REN ; Hai Jian ZHOU ; Si Hong ZHAO ; Bo Yan HOU ; Jian Ping YAN ; Tian QIN ; Yu CHEN
Biomedical and Environmental Sciences 2017;30(8):549-561
OBJECTIVELower respiratory tract infections continue to pose a significant threat to human health. It is important to accurately and rapidly detect respiratory bacteria. To compensate for the limits of current respiratory bacteria detection methods, we developed a combination of multiplex polymerase chain reaction (PCR) and capillary electrophoresis (MPCE) assay to detect thirteen bacterial pathogens responsible for lower respiratory tract infections, including Streptococcus pneumoniae, Haemophilus influenzae, Moraxella catarrhalis, Pseudomonas aeruginosa, Klebsiella pneumoniae, Escherichia coli, Staphylococcus aureus, Mycoplasma pneumoniae, Legionella spp., Bordetella pertussis, Mycobacterium tuberculosis complex, Corynebacterium diphtheriae, and Streptococcus pyogenes.
METHODSThree multiplex PCR reactions were built, and the products were analyzed by capillary electrophoresis using the high-throughput DNA analyzer. The specificity of the MPCE assay was examined and the detection limit was evaluated using DNA samples from each bacterial strain and the simulative samples of each strain. This assay was further evaluated using 152 clinical specimens and compared with real-time PCR reactions. For this assay, three nested-multiplex-PCRs were used to detect these clinical specimens.
RESULTSThe detection limits of the MPCE assay for the 13 pathogens were very low and ranged from 10-7 to 10-2 ng/μL. Furthermore, analysis of the 152 clinical specimens yielded a specificity ranging from 96.5%-100.0%, and a sensitivity of 100.0% for the 13 pathogens.
CONCLUSIONThis study revealed that the MPCE assay is a rapid, reliable, and high-throughput method with high specificity and sensitivity. This assay has great potential in the molecular epidemiological survey of respiratory pathogens.
Bacteria ; classification ; genetics ; isolation & purification ; Bacteriological Techniques ; DNA, Bacterial ; genetics ; Electrophoresis, Capillary ; methods ; Humans ; Multiplex Polymerase Chain Reaction ; methods ; Respiratory Tract Infections ; microbiology ; Sensitivity and Specificity
9.Structural Modulation of Gut Microbiota in Rats with Allergic Bronchial Asthma Treated with Recuperating Lung Decoction.
Yan Hua KONG ; Qi SHI ; Na HAN ; Ling ZHANG ; Yuan Yuan ZHANG ; Tong Xin GAO ; Chen CHEN ; You Lin LI
Biomedical and Environmental Sciences 2016;29(8):574-583
OBJECTIVETo investigate whether recuperating lung decoction (RLD) can modulate the composition of gut microbiota in rats during asthma treatment.
METHODSFifteen Sprague-Dawley rats were divided randomly and equally into control group, model group, dexamethasone (DEX) group, RLD medium-dose group, and RLD high-dose group. The asthma model was established in all groups, except for the control group. The rats in the DEX and RLD groups were treated orally with DEX and RLD, respectively. The rats in the control and model groups were treated orally with 0.9% saline. The intestinal bacterial communities were compared among groups using 16S rRNA gene amplification and 454 pyrosequencing.
RESULTSThe microbial flora differed between the control and model groups, but the flora in the RLD groups was similar to that in the control group. No significant differences were observed between the RLD high-dose and medium-dose groups. RLD treatment resulted in an increase in the level beneficial bacteria in the gut, such as Lactobacillus and Bifidobacterium spp.
CONCLUSIONOral administration of RLD increased the number of intestinal lactic acid-producing bacteria, such as Lactobacillus and Bifidobacterium, in asthma model rats.
Animals ; Asthma ; drug therapy ; immunology ; microbiology ; Bacteria ; classification ; genetics ; isolation & purification ; Drugs, Chinese Herbal ; administration & dosage ; Gastrointestinal Microbiome ; drug effects ; Gastrointestinal Tract ; immunology ; microbiology ; Humans ; Male ; Plants, Medicinal ; chemistry ; Rats ; Rats, Sprague-Dawley
10.Changes in gut microbiota and serum D-lactate level and correlation analysis in children with recurrent pneumonia.
Shao PENG ; Tian-Hua DU ; Man ZHANG
Chinese Journal of Contemporary Pediatrics 2016;18(2):113-116
OBJECTIVETo study the changes in gut microbiota and serum D-lactate level and their significance in children with recurrent pneumonia.
METHODSThe stool and blood samples were collected from 30 children with recurrent pneumonia (recurrent group), 30 children with acute pneumonia (acute group), and 15 children receiving surgical operation (surgery group). The 16S rRNA fluorescent quantitative polymerase chain reaction (FQ-PCR) was applied to determine the numbers of Bifidobacterium and Escherichia coli in stool samples, and the ratio between the logarithmic values of the numbers of Bifidobacterium and Escherichia coli (B/E value) was calculated. The serum D-lactate level was measured, and correlation analysis was performed.
RESULTSThe recurrent group had a significantly lower number of Bifidobacterium and a significantly lower B/E value than the acute group and the surgery group (P<0.05), as well as a significantly higher number of Escherichia coli than the surgery group (P<0.05). There was no significant difference in the number of Escherichia coli between the recurrent group and the acute group. The recurrent group had a significantly higher serum D-lactate level than the acute group and the surgery group (P<0.05). In the recurrent group, B/E value was negatively correlated with serum D-lactate level (r=-0.539, P<0.05).
CONCLUSIONSChildren with recurrent pneumonia may have biological and mechanical barrier damage in the intestinal mucosa.
Bacteria ; classification ; genetics ; isolation & purification ; Bifidobacterium ; genetics ; isolation & purification ; Child ; Child, Preschool ; Escherichia coli ; genetics ; isolation & purification ; Feces ; microbiology ; Female ; Gastrointestinal Microbiome ; Humans ; Lactates ; blood ; Pneumonia ; blood ; microbiology ; pathology ; Recurrence

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