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Dive into the research topics where Huanzi Zhong is active.

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Featured researches published by Huanzi Zhong.


Cell Host & Microbe | 2015

Dynamics and Stabilization of the Human Gut Microbiome during the First Year of Life.

Fredrik Bäckhed; Yangqing Peng; Qiang Feng; Huijue Jia; Petia Kovatcheva-Datchary; Yin Li; Yan Xia; Hailiang Xie; Huanzi Zhong; Muhammad Tanweer Khan; Jianfeng Zhang; Junhua Li; Liang Xiao; Jumana Y. Al-Aama; Dongya Zhang; Ying Shiuan Lee; Dorota Ewa Kotowska; Camilla Colding; Valentina Tremaroli; Ye Yin; Stefan Bergman; Xun Xu; Lise Madsen; Karsten Kristiansen; Jovanna Dahlgren; Jun Wang

The gut microbiota is central to human health, but its establishment in early life has not been quantitatively and functionally examined. Applying metagenomic analysis on fecal samples from a large cohort of Swedish infants and their mothers, we characterized the gut microbiome during the first year of life and assessed the impact of mode of delivery and feeding on its establishment. In contrast to vaginally delivered infants, the gut microbiota of infants delivered by C-section showed significantly less resemblance to their mothers. Nutrition had a major impact on early microbiota composition and function, with cessation of breast-feeding, rather than introduction of solid food, being required for maturation into an adult-like microbiota. Microbiota composition and ecological network had distinctive features at each sampled stage, in accordance with functional maturation of the microbiome. Our findings establish a framework for understanding the interplay between the gut microbiome and the human body in early life.


Nature Biotechnology | 2014

An integrated catalog of reference genes in the human gut microbiome

Junhua Li; Huijue Jia; Xianghang Cai; Huanzi Zhong; Qiang Feng; Shinichi Sunagawa; Manimozhiyan Arumugam; Jens Roat Kultima; Edi Prifti; Trine Nielsen; Agnieszka Sierakowska Juncker; Chaysavanh Manichanh; Bing Chen; Wenwei Zhang; Florence Levenez; Juan Wang; Xun Xu; Liang Xiao; Suisha Liang; Dongya Zhang; Zhaoxi Zhang; Weineng Chen; Hailong Zhao; Jumana Y. Al-Aama; Sherif Edris; Huanming Yang; Jian Wang; Torben Hansen; Henrik Bjørn Nielsen; Søren Brunak

Many analyses of the human gut microbiome depend on a catalog of reference genes. Existing catalogs for the human gut microbiome are based on samples from single cohorts or on reference genomes or protein sequences, which limits coverage of global microbiome diversity. Here we combined 249 newly sequenced samples of the Metagenomics of the Human Intestinal Tract (MetaHit) project with 1,018 previously sequenced samples to create a cohort from three continents that is at least threefold larger than cohorts used for previous gene catalogs. From this we established the integrated gene catalog (IGC) comprising 9,879,896 genes. The catalog includes close-to-complete sets of genes for most gut microbes, which are also of considerably higher quality than in previous catalogs. Analyses of a group of samples from Chinese and Danish individuals using the catalog revealed country-specific gut microbial signatures. This expanded catalog should facilitate quantitative characterization of metagenomic, metatranscriptomic and metaproteomic data from the gut microbiome to understand its variation across populations in human health and disease.


Nature Medicine | 2015

The oral and gut microbiomes are perturbed in rheumatoid arthritis and partly normalized after treatment

Dongya Zhang; Huijue Jia; Qiang Feng; Donghui Wang; Di Liang; Xiang-ni Wu; Junhua Li; Longqing Tang; Yin Li; Zhou Lan; Bing Chen; Yanli Li; Huanzi Zhong; Hailiang Xie; Zhuye Jie; Weineng Chen; Shanmei Tang; Xiaoqiang Xu; Xiaokai Wang; Xianghang Cai; Sheng Liu; Yan Xia; Jiyang Li; Xingye Qiao; Jumana Y. Al-Aama; Hua Chen; Wang L; Qingjun Wu; Fengchun Zhang; Wenjie Zheng

We carried out metagenomic shotgun sequencing and a metagenome-wide association study (MGWAS) of fecal, dental and salivary samples from a cohort of individuals with rheumatoid arthritis (RA) and healthy controls. Concordance was observed between the gut and oral microbiomes, suggesting overlap in the abundance and function of species at different body sites. Dysbiosis was detected in the gut and oral microbiomes of RA patients, but it was partially resolved after RA treatment. Alterations in the gut, dental or saliva microbiome distinguished individuals with RA from healthy controls, were correlated with clinical measures and could be used to stratify individuals on the basis of their response to therapy. In particular, Haemophilus spp. were depleted in individuals with RA at all three sites and negatively correlated with levels of serum autoantibodies, whereas Lactobacillus salivarius was over-represented in individuals with RA at all three sites and was present in increased amounts in cases of very active RA. Functionally, the redox environment, transport and metabolism of iron, sulfur, zinc and arginine were altered in the microbiota of individuals with RA. Molecular mimicry of human antigens related to RA was also detectable. Our results establish specific alterations in the gut and oral microbiomes in individuals with RA and suggest potential ways of using microbiome composition for prognosis and diagnosis.


Nature Medicine | 2017

Gut microbiome and serum metabolome alterations in obesity and after weight-loss intervention

Ruixin Liu; Jie Hong; Xiaoqiang Xu; Qiang Feng; Dongya Zhang; Yanyun Gu; Juan Shi; Shaoqian Zhao; Wen Liu; Xiaokai Wang; Huihua Xia; Zhipeng Liu; Bin Cui; Peiwen Liang; Liuqing Xi; Jiabin Jin; Xiayang Ying; Xiaolin Wang; Xinjie Zhao; Wanyu Li; Huijue Jia; Zhou Lan; Fengyu Li; R.Z. Wang; Yingkai Sun; Minglan Yang; Yuxin Shen; Zhuye Jie; Junhua Li; Xiaomin Chen

Emerging evidence has linked the gut microbiome to human obesity. We performed a metagenome-wide association study and serum metabolomics profiling in a cohort of lean and obese, young, Chinese individuals. We identified obesity-associated gut microbial species linked to changes in circulating metabolites. The abundance of Bacteroides thetaiotaomicron, a glutamate-fermenting commensal, was markedly decreased in obese individuals and was inversely correlated with serum glutamate concentration. Consistently, gavage with B. thetaiotaomicron reduced plasma glutamate concentration and alleviated diet-induced body-weight gain and adiposity in mice. Furthermore, weight-loss intervention by bariatric surgery partially reversed obesity-associated microbial and metabolic alterations in obese individuals, including the decreased abundance of B. thetaiotaomicron and the elevated serum glutamate concentration. Our findings identify previously unknown links between intestinal microbiota alterations, circulating amino acids and obesity, suggesting that it may be possible to intervene in obesity by targeting the gut microbiota.


Nature Communications | 2017

The gut microbiome in atherosclerotic cardiovascular disease

Zhuye Jie; Huihua Xia; Shilong Zhong; Qiang Feng; Shenghui Li; Suisha Liang; Huanzi Zhong; Zhipeng Liu; Yuan Gao; Hui Zhao; Dongya Zhang; Zheng Su; Zhiwei Fang; Zhou Lan; Junhua Li; Liang Xiao; Jun Li; Ruijun Li; Xiaoping Li; Fei Li; Huahui Ren; Yan Huang; Yangqing Peng; Guanglei Li; Bo Wen; Bo Dong; Jiyan Chen; Qing-Shan Geng; Zhi-Wei Zhang; Huanming Yang

The gut microbiota has been linked to cardiovascular diseases. However, the composition and functional capacity of the gut microbiome in relation to cardiovascular diseases have not been systematically examined. Here, we perform a metagenome-wide association study on stools from 218 individuals with atherosclerotic cardiovascular disease (ACVD) and 187 healthy controls. The ACVD gut microbiome deviates from the healthy status by increased abundance of Enterobacteriaceae and Streptococcus spp. and, functionally, in the potential for metabolism or transport of several molecules important for cardiovascular health. Although drug treatment represents a confounding factor, ACVD status, and not current drug use, is the major distinguishing feature in this cohort. We identify common themes by comparison with gut microbiome data associated with other cardiometabolic diseases (obesity and type 2 diabetes), with liver cirrhosis, and rheumatoid arthritis. Our data represent a comprehensive resource for further investigations on the role of the gut microbiome in promoting or preventing ACVD as well as other related diseases.The gut microbiota may play a role in cardiovascular diseases. Here, the authors perform a metagenome-wide association study on stools from individuals with atherosclerotic cardiovascular disease and healthy controls, identifying microbial strains and functions associated with the disease.


Cell systems | 2016

Shotgun Metagenomics of 250 Adult Twins Reveals Genetic and Environmental Impacts on the Gut Microbiome

Hailiang Xie; Ruijin Guo; Huanzi Zhong; Qiang Feng; Zhou Lan; Bingcai Qin; Kirsten Ward; Matthew A. Jackson; Yan Xia; Xu Chen; Bing Chen; Huihua Xia; Changlu Xu; Fei Li; Xun Xu; Jumana Y. Al-Aama; Huanming Yang; Jian Wang; Karsten Kristiansen; Jun Wang; Claire J. Steves; Jordana T. Bell; Junhua Li; Tim D. Spector; Huijue Jia

The gut microbiota has been typically viewed as an environmental factor for human health. Twins are well suited for investigating the concordance of their gut microbiomes and decomposing genetic and environmental influences. However, existing twin studies utilizing metagenomic shotgun sequencing have included only a few samples. Here, we sequenced fecal samples from 250 adult twins in the TwinsUK registry and constructed a comprehensive gut microbial reference gene catalog. We demonstrate heritability of many microbial taxa and functional modules in the gut microbiome, including those associated with diseases. Moreover, we identified 8 million SNPs in the gut microbiome and observe a high similarity in microbiome SNPs between twins that slowly decreases after decades of living apart. The results shed new light on the genetic and environmental influences on the composition and function of the gut microbiome that could relate to risk of complex diseases.


Nature Communications | 2017

The microbiota continuum along the female reproductive tract and its relation to uterine-related diseases

Chen Chen; Xiaolei Song; Weixia Wei; Huanzi Zhong; Juanjuan Dai; Zhou Lan; Fei Li; Xinlei Yu; Qiang Feng; Zirong Wang; Hailiang Xie; Xiaomin Chen; Chunwei Zeng; Bo Wen; Liping Zeng; Hui Du; Huiru Tang; Changlu Xu; Yan Xia; Huihua Xia; Huanming Yang; Jian Wang; Jun Wang; Lise Madsen; Susanne Brix; Karsten Kristiansen; Xun Xu; Junhua Li; Ruifang Wu; Huijue Jia

Reports on bacteria detected in maternal fluids during pregnancy are typically associated with adverse consequences, and whether the female reproductive tract harbours distinct microbial communities beyond the vagina has been a matter of debate. Here we systematically sample the microbiota within the female reproductive tract in 110 women of reproductive age, and examine the nature of colonisation by 16S rRNA gene amplicon sequencing and cultivation. We find distinct microbial communities in cervical canal, uterus, fallopian tubes and peritoneal fluid, differing from that of the vagina. The results reflect a microbiota continuum along the female reproductive tract, indicative of a non-sterile environment. We also identify microbial taxa and potential functions that correlate with the menstrual cycle or are over-represented in subjects with adenomyosis or infertility due to endometriosis. The study provides insight into the nature of the vagino-uterine microbiome, and suggests that surveying the vaginal or cervical microbiota might be useful for detection of common diseases in the upper reproductive tract.Whether the female reproductive tract harbours distinct microbiomes beyond the vagina has been a matter of debate. Here, the authors show a subject-specific continuity in microbial communities at six sites along the female reproductive tract, indicative of a non-sterile environment.


Nature Communications | 2017

Analyses of gut microbiota and plasma bile acids enable stratification of patients for antidiabetic treatment

Yanyun Gu; Xiaokai Wang; Junhua Li; Zhang Y; Huanzi Zhong; Ruixin Liu; Dongya Zhang; Qiang Feng; Xiaoyan Xie; Jie Hong; Huahui Ren; Wei Liu; Jing Ma; Qing Su; Hongmei Zhang; Jialin Yang; Xiaoling Wang; Xinjie Zhao; Weiqiong Gu; Yufang Bi; Yongde Peng; Xiaoqiang Xu; Huihua Xia; Fang Li; Xun Xu; Huanming Yang; Guowang Xu; Lise Madsen; Karsten Kristiansen; Guang Ning

Antidiabetic medication may modulate the gut microbiota and thereby alter plasma and faecal bile acid (BA) composition, which may improve metabolic health. Here we show that treatment with Acarbose, but not Glipizide, increases the ratio between primary BAs and secondary BAs and plasma levels of unconjugated BAs in treatment-naive type 2 diabetes (T2D) patients, which may beneficially affect metabolism. Acarbose increases the relative abundances of Lactobacillus and Bifidobacterium in the gut microbiota and depletes Bacteroides, thereby changing the relative abundance of microbial genes involved in BA metabolism. Treatment outcomes of Acarbose are dependent on gut microbiota compositions prior to treatment. Compared to patients with a gut microbiota dominated by Prevotella, those with a high abundance of Bacteroides exhibit more changes in plasma BAs and greater improvement in metabolic parameters after Acarbose treatment. Our work highlights the potential for stratification of T2D patients based on their gut microbiota prior to treatment.The authors examine the effects of antidiabetic medication on the gut microbiome and bile acid composition and show that these data can be used to stratify treatment regimens for type 2 diabetes.


GigaScience | 2018

Assessment of the cPAS-based BGISEQ-500 platform for metagenomic sequencing

Chao Fang; Huanzi Zhong; Yuxiang Lin; Bing Chen; Mo Han; Huahui Ren; Haorong Lu; Jacob M. Luber; Min Xia; Wangsheng Li; Shayna Stein; Xun Xu; Wenwei Zhang; Radoje Drmanac; Jian Wang; Huanming Yang; Lennart Hammarström; Aleksandar D. Kostic; Karsten Kristiansen; Junhua Li

Abstract Background More extensive use of metagenomic shotgun sequencing in microbiome research relies on the development of high-throughput, cost-effective sequencing. Here we present a comprehensive evaluation of the performance of the new high-throughput sequencing platform BGISEQ-500 for metagenomic shotgun sequencing and compare its performance with that of 2 Illumina platforms. Findings Using fecal samples from 20 healthy individuals, we evaluated the intra-platform reproducibility for metagenomic sequencing on the BGISEQ-500 platform in a setup comprising 8 library replicates and 8 sequencing replicates. Cross-platform consistency was evaluated by comparing 20 pairwise replicates on the BGISEQ-500 platform vs the Illumina HiSeq 2000 platform and the Illumina HiSeq 4000 platform. In addition, we compared the performance of the 2 Illumina platforms against each other. By a newly developed overall accuracy quality control method, an average of 82.45 million high-quality reads (96.06% of raw reads) per sample, with 90.56% of bases scoring Q30 and above, was obtained using the BGISEQ-500 platform. Quantitative analyses revealed extremely high reproducibility between BGISEQ-500 intra-platform replicates. Cross-platform replicates differed slightly more than intra-platform replicates, yet a high consistency was observed. Only a low percentage (2.02%–3.25%) of genes exhibited significant differences in relative abundance comparing the BGISEQ-500 and HiSeq platforms, with a bias toward genes with higher GC content being enriched on the HiSeq platforms. Conclusions Our study provides the first set of performance metrics for human gut metagenomic sequencing data using BGISEQ-500. The high accuracy and technical reproducibility confirm the applicability of the new platform for metagenomic studies, though caution is still warranted when combining metagenomic data from different platforms.


GigaScience | 2017

Lipidomic profiling reveals distinct differences in plasma lipid composition in healthy, prediabetic, and type 2 diabetic individuals

Huanzi Zhong; Chao Fang; Yanqun Fan; Yan Lu; Bo Wen; Huahui Ren; Guixue Hou; Fangming Yang; Hailiang Xie; Zhuye Jie; Ye Peng; Zhiqiang Ye; Jiegen Wu; Jin Zi; Guoqing Zhao; Jiayu Chen; Xiao Bao; Yihe Hu; Yan Gao; Jun Zhang; Huanming Yang; Jian Wang; Lise Madsen; Karsten Kristiansen; Chuanming Ni; Junhua Li; Siqi Liu

Abstract The relationship between dyslipidemia and type 2 diabetes mellitus (T2D) has been extensively reported, but the global lipid profiles, especially in the East Asia population, associated with the development of T2D remain to be characterized. Liquid chromatography coupled to tandem mass spectrometry was applied to detect the global lipidome in the fasting plasma of 293 Chinese individuals, including 114 T2D patients, 81 prediabetic subjects, and 98 individuals with normal glucose tolerance (NGT). Both qualitative and quantitative analyses revealed a gradual change in plasma lipid features with T2D patients exhibiting characteristics close to those of prediabetic individuals, whereas they differed significantly from individuals with NGT. We constructed and validated a random forest classifier with 28 lipidomic features that effectively discriminated T2D from NGT or prediabetes. Most of the selected features significantly correlated with diabetic clinical indices. Hydroxybutyrylcarnitine was positively correlated with fasting plasma glucose, 2-hour postprandial glucose, glycated hemoglobin, and insulin resistance index (HOMA-IR). Lysophosphatidylcholines such as lysophosphatidylcholine (18:0), lysophosphatidylcholine (18:1), and lysophosphatidylcholine (18:2) were all negatively correlated with HOMA-IR. The altered plasma lipidome in Chinese T2D and prediabetic subjects suggests that lipid features may play a role in the pathogenesis of T2D and that such features may provide a basis for evaluating risk and monitoring disease development.

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Junhua Li

South China University of Technology

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Huanming Yang

Chinese Academy of Sciences

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Qiang Feng

University of Copenhagen

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Xun Xu

Beijing Institute of Genomics

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Jian Wang

Guangzhou Medical University

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Bing Chen

Chinese Academy of Sciences

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Lise Madsen

University of Copenhagen

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Yan Xia

Chinese Academy of Sciences

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