Zhong-Tao Gai

Zhong-Tao Gai


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2020 in Emerging Microbes & Infections
Verified
Journal Article
Open access
LSLiang Su
Liang Su
XMXiang Ma
Xiang Ma
HYHuafeng Yu
Huafeng Yu
ZZZhaohua Zhang
Zhaohua Zhang
PBPengfei Bian
Pengfei Bian
ZGZhong-Tao Gai
Zhong-Tao Gai
This study aims to analyze the different clinical characteristics between children and their families infected with severe acute respiratory syndrome coronavirus 2. Clinical data from nine children and their 14 families were collected, including general status, clinical, laboratory test, and imaging characteristics. All the children were detected positive result after their families onset. Three children had fever (22.2%) or cough (11.2%) symptoms and six (66.7%) children had no symptom. Among the 14 adult patients, the major symptoms included fever (57.1%), cough (35.7%), chest tightness/pain (21.4%), fatigue (21.4%) and sore throat (7.1%). Nearly 70% of the patients had normal (71.4%) or decreased (28.6%) white blood cell counts, and 50% (7/14) had lymphocytopenia. There were 10 adults (71.4%) showed abnormal imaging. The main manifestations were pulmonary consolidation (70%), nodular shadow (50%), and ground glass opacity (50%). Five discharged children were admitted again because their stool showed positive result in SARS-CoV-2 PCR. COVID-19 in children is mainly caused by family transmission, and their symptoms are mild and prognosis is better than adult. However, their PCR result in stool showed longer time than their families. Because of the mild or asymptomatic clinical process, it is difficult to recognize early for pediatrician and public health staff.

1 February 2019 in Genomics, Proteomics & Bioinformatics
Verified
Journal Article
Open access
NLNing Li
Ning Li
JYJunjie Yang
Junjie Yang
JZJiaming Zhang
Jiaming Zhang
CLCheng Liang
Cheng Liang
YWYing Wang
Ying Wang
GZGuoping Zhao
Guoping Zhao
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.

1 May 2018 in International Immunopharmacology
Verified
Journal Article
Closed access
XWXingcui Wang
Xingcui Wang
LZLei Zhang
Lei Zhang
YWYing Wang
Ying Wang
XLXuemei Liu
Xuemei Liu
HZHongxia Zhang
Hongxia Zhang
ZGZhong-Tao Gai
Zhong-Tao Gai

1 June 2020 in Journal of Microbiology, Immunology and Infection
Verified
Journal Article
Open access
XMXiang Ma
Xiang Ma
LSLiang Su
Liang Su
YZYunkui Zhang
Yunkui Zhang
XZXiuzhen Zhang
Xiuzhen Zhang
ZGZhong-Tao Gai
Zhong-Tao Gai
ZZZhongfa Zhang
Zhongfa Zhang
SARS-CoV-2 can be shed in the stool of patients in the recovery phase. Children show a longer shedding time than adults. We analyzed the possible causes of this finding and recommend that a negative stool sample be included in a patient's discharge criteria.

7 November 2019 in Frontiers in Cellular and Infection Microbiology
Verified
Journal Article
Open access
PDF file
LYLu Yang
Lu Yang
JZJiaming Zhang
Jiaming Zhang
JXJunjie Xu
Junjie Xu
XWXuxia Wei
Xuxia Wei
JYJunjie Yang
Junjie Yang
ZGZhong-Tao Gai
Zhong-Tao Gai
Introduction: Helicobacter pylori infection consistently leads to chronic and low degree of inflammatory response in gastric mucosa and is closely related with gastrointestinal and extra-gastric diseases. Effects of local microbiome in the stomach have been studied in adults and children with H. pylori infection. It is, however, not known whether the intestinal microbial community differs in children with varying H. pylori infection. The aim of this study is to characterize the altered composition of microbiome induced by H. pylori infection and in gastritis. Materials and Methods: This study involved 154 individuals, including 50 children affected by H. pylori-induced gastritis, 42 children with H. pylori-negative gastritis, and 62 healthy controls. Gut microbiome composition was analyzed using 16S rRNA gene-based pyrosequencing. Fecal bacterial diversity and composition were then compared. Results: On the basis of an analysis of similarities and differences, we found that children with H. pylori-induced gastritis exhibited gut bacteria dysbiosis. The ratio of Firmicutes/Bacteroidetes (F:B) at the phylum level had dramatically decreased in H. pylori-positive gastritis group (HPG) and H. pylori-negative gastritis group (HNG), compared with the healthy control group (HCG). At the family and genus levels, relative abundance of Bacteroidaceae and Enterobacteriaceae was prevalent in HPG and HNG, whereas relative abundance of Lachnospiraceae, Bifidobacteriaceae, and Lactobacillaceae was seen in HCG. Prevalence of different taxa of gut microbiome at the class, order, family, and genus levels was also observed among the three groups. Conclusions: Gastritis can cause changes in composition of fecal microbiome, which is exacerbated by H. pylori infection. These changes in gut microbiome may be related to drug resistance and development of chronic gastrointestinal diseases.