Shi Huang

Dr. Shi Huang


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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8 February 2016 in Scientific Reports
Verified
Journal Article
Open access
ZGZhuang Guo
Zhuang Guo
JZJiachao Zhang
Jiachao Zhang
ZWZhanli Wang
Zhanli Wang
KAKay Ying Ang
Kay Ying Ang
SHShi Huang
Shi Huang
HZHeping Zhang
Heping Zhang
Current blood-based approach for gout diagnosis can be of low sensitivity and hysteretic. Here via a 68-member cohort of 33 healthy and 35 diseased individuals, we reported that the intestinal microbiota of gout patients are highly distinct from healthy individuals in both organismal and functional structures. In gout, Bacteroides caccae and Bacteroides xylanisolvens are enriched yet Faecalibacterium prausnitzii and Bifidobacterium pseudocatenulatum depleted. The established reference microbial gene catalogue for gout revealed disorder in purine degradation and butyric acid biosynthesis in gout patients. In an additional 15-member validation-group, a diagnosis model via 17 gout-associated bacteria reached 88.9% accuracy, higher than the blood-uric-acid based approach. Intestinal microbiota of gout are more similar to those of type-2 diabetes than to liver cirrhosis, whereas depletion of Faecalibacterium prausnitzii and reduced butyrate biosynthesis are shared in each of the metabolic syndromes. Thus the Microbial Index of Gout was proposed as a novel, sensitive and non-invasive strategy for diagnosing gout via fecal microbiota.

18 October 2016 in The Plant Journal
Verified
Journal Article
Closed access
PDF file
QWQintao Wang
Qintao Wang
LYLu Yandu
Lu Yandu
YXYi Xin
Yi Xin
LWLi Wei
Li Wei
SHShi Huang
Shi Huang
JXJian Xu
Jian Xu

3 August 2017 in Microbiome
Verified
Journal Article
Open access
PDF file
PGPengfei Gao
Pengfei Gao
CMChen Ma
Chen Ma
ZSZheng Sun
Zheng Sun
LWLifeng Wang
Lifeng Wang
SHShi Huang
Shi Huang
HZHeping Zhang
Heping Zhang
Reducing antibiotics overuse in animal agriculture is one key in combat against the spread of antibiotic resistance. Probiotics are a potential replacement of antibiotics in animal feed; however, it is not clear whether and how probiotics and antibiotics differ in impact on physiology and microbial ecology of host animals. Host phenotype and fecal microbiota of broilers with either antibiotics or probiotics as feed additive were simultaneously sampled at four time points from birth to slaughter and then compared. Probiotic feeding resulted in a lower feed conversion ratio (FCR) and induced the highest level of immunity response, suggesting greater economic benefits in broiler farming. Probiotic use but not antibiotic use recapitulated the characteristics of age-dependent development of gut microbiota in the control group. The maturation of intestinal microbiota was greatly accelerated by probiotic feeding, yet significantly retarded and eventually delayed by antibiotic feeding. LP-8 stimulated the growth of many intestinal Lactobacillus spp. and led to an altered bacterial correlation network where Lactobacillus spp. are negatively correlated with 14 genera and positively linked with none, yet from the start antibiotic feeding featured a less-organized network where such inter-genera interactions were fewer and weaker. Consistently, microbiota-encoded functions as revealed by metagenome sequencing were highly distinct between the two groups. Thus, “intestinal microbiota maturation index” was proposed to quantitatively compare impact of feed additives on animal microecology. Our results reveal a tremendous potential of probiotics as antibiotics’ substitute in poultry farming.

1 September 2015 in Cell Host & Microbe
Verified
Journal Article
Closed access
FTFei Teng
Fei Teng
FYFang Yang
Fang Yang
SHShi Huang
Shi Huang
CBCunpei Bo
Cunpei Bo
ZXZhenjiang Zech Xu
Zhenjiang Zech Xu
JXJian Xu
Jian Xu

24 March 2017 in Analytical Chemistry
Verified
Journal Article
Closed access
YTYifan Tao
Yifan Tao
YWYun Wang
Yun Wang
SHShi Huang
Shi Huang
PZPengfei Zhu
Pengfei Zhu
WHWei E Huang
Wei E Huang
JXJian Xu
Jian Xu

26 April 2022 in mSystems
Verified
Journal Article
Open access
QZQiyun Zhu
Qiyun Zhu
SHShi Huang
Shi Huang
AGAntonio Gonzalez
Antonio Gonzalez
IMImran McGrath
Imran McGrath
DMDaniel McDonald
Daniel McDonald
RKRob Knight
Rob Knight
Shotgun metagenomics is a powerful, yet computationally challenging, technique compared to 16S rRNA gene amplicon sequencing for decoding the composition and structure of microbial communities. Current analyses of metagenomic data are primarily based on taxonomic classification, which is limited in feature resolution.