Zhengxiao Zhang

Dr. Zhengxiao Zhang

University of Alberta, Department of Medicine
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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1 March 2020 in Cell Host & Microbe
Verified
Journal Article
Closed access
EDEdward C. Deehan
Edward C. Deehan
CYChen Yang
Chen Yang
MPMaria Elisa Perez-Muñoz
Maria Elisa Perez-Muñoz
NNNguyen Khoi Nguyen
Nguyen Khoi Nguyen
CCChristopher C. Cheng
Christopher C. Cheng
JWJens Walter
Jens Walter

5 July 2021 in Nature Medicine
Verified
Journal Article
Closed access
PDF file
VMValentin Mocanu
Valentin Mocanu
ZZZhengxiao Zhang
Zhengxiao Zhang
EDEdward C. Deehan
Edward C. Deehan
DKDina H. Kao
Dina H. Kao
NHNaomi Hotte
Naomi Hotte
KMKAREN MADSEN
KAREN MADSEN

25 September 2019 in Nutrients
Verified
Journal Article
Open access
PDF file
ZZZhengxiao Zhang
Zhengxiao Zhang
VMValentin Mocanu
Valentin Mocanu
CCChenxi Cai
Chenxi Cai
Jerry DangJerry Dang
Jerry Dang
LSLinda Slater
Linda Slater
KMKAREN MADSEN
KAREN MADSEN
Fecal microbiota transplantation (FMT) is a gut microbial-modulation strategy that has been investigated for the treatment of a variety of human diseases, including obesity-associated metabolic disorders. This study appraises current literature and provides an overview of the effectiveness and limitations of FMT as a potential therapeutic strategy for obesity and metabolic syndrome (MS). Five electronic databases and two gray literature sources were searched up to 10 December 2018. All interventional and observational studies that contained information on the relevant population (adult patients with obesity and MS), intervention (receiving allogeneic FMT) and outcomes (metabolic parameters) were eligible. From 1096 unique citations, three randomized placebo-controlled studies (76 patients with obesity and MS, body mass index = 34.8 ± 4.1 kg/m2, fasting plasma glucose = 5.8 ± 0.7 mmol/L) were included for review. Studies reported mixed results with regards to improvement in metabolic parameters. Two studies reported improved peripheral insulin sensitivity (rate of glucose disappearance, RD) at 6 weeks in patients receiving donor FMT versus patients receiving the placebo control. In addition, one study observed lower HbA1c levels in FMT patients at 6 weeks. No differences in fasting plasma glucose, hepatic insulin sensitivity, body mass index (BMI), or cholesterol markers were observed between two groups across all included studies. While promising, the influence of FMT on long-term clinical endpoints needs to be further explored. Future studies are also required to better understand the mechanisms through which changes in gut microbial ecology and engraftment of microbiota affect metabolic outcomes for patients with obesity and MS. In addition, further research is needed to better define the optimal fecal microbial preparation, dosing, and method of delivery.

18 July 2017 in Scientific Reports
Verified
Journal Article
Open access
PDF file
RLRu Li
Ru Li
Hein M. TunHein M. Tun
Hein M. Tun
MJMusarrat Jahan
Musarrat Jahan
ZZZhengxiao Zhang
Zhengxiao Zhang
AKAyush Kumar
Ayush Kumar
EKEhsan Khafipour
Ehsan Khafipour
The limitation of 16S rRNA gene sequencing (DNA-based) for microbial community analyses in water is the inability to differentiate live (dormant cells as well as growing or non-growing metabolically active cells) and dead cells, which can lead to false positive results in the absence of live microbes. Propidium-monoazide (PMA) has been used to selectively remove DNA from dead cells during downstream sequencing process. In comparison, 16S rRNA sequencing (RNA-based) can target live microbial cells in water as both dormant and metabolically active cells produce rRNA. The objective of this study was to compare the efficiency and sensitivity of DNA-based, PMA-based and RNA-based 16S rRNA Illumina sequencing methodologies for live bacteria detection in water samples experimentally spiked with different combination of bacteria (2 gram-negative and 2 gram-positive/acid fast species either all live, all dead, or combinations of live and dead species) or obtained from different sources (First Nation community drinking water; city of Winnipeg tap water; water from Red River, Manitoba, Canada). The RNA-based method, while was superior for detection of live bacterial cells still identified a number of 16S rRNA targets in samples spiked with dead cells. In environmental water samples, the DNA- and PMA-based approaches perhaps overestimated the richness of microbial community compared to RNA-based method. Our results suggest that the RNA-based sequencing was superior to DNA- and PMA-based methods in detecting live bacterial cells in water.

19 August 2020 in Microbiome
Verified
Journal Article
Open access
PDF file
NNNguyen Khoi Nguyen
Nguyen Khoi Nguyen
Edward C. DeehanEdward C. Deehan
Edward C. Deehan
ZZZhengxiao Zhang
Zhengxiao Zhang
MJMingliang Jin
Mingliang Jin
NBNami Baskota
Nami Baskota
JWJens Walter
Jens Walter
Background: Variability in the health effects of dietary fiber might arise from inter-individual differences in the gut microbiota’s ability to ferment these substrates into beneficial metabolites. Our understanding of what drives this individuality is vastly incomplete and will require an ecological perspective as microbiomes function as complex inter-connected communities. Here, we performed a parallel two-arm, exploratory randomized controlled trial in 31 adults with overweight and class-I obesity to characterize the effects of long-chain, complex arabinoxylan (n= 15) at high supplementation doses (female: 25 g/day; male: 35 g/day) on gut microbiota composition and short-chain fatty acid production as compared to microcrystalline cellulose (n= 16, non-fermentable control), and integrated the findings using an ecological framework.Results: Arabinoxylan resulted in a global shift in fecal bacterial community composition, reduced α-diversity, and the promotion of specific taxa, including operational taxonomic units related toBifidobacterium longum,Blautia obeum, andPrevotella copri. Arabinoxylan further increased fecal propionate concentrations (p= 0.012, Friedman’s test), an effect that showed two distinct groupings of temporal responses in participants. The two groups showed differences in compositional shifts of the microbiota (p≤ 0.025, PERMANOVA), and multiple linear regression (MLR) analyses revealed that the propionate response was predictable through shifts and, to a lesser degree, baseline composition of the microbiota. Principal components (PCs) derived from community data were better predictors in MLR models as compared to single taxa, indicating that arabinoxylan fermentation is the result of multi-species interactions within microbiomes.Conclusion: This study showed that long-chain arabinoxylan modulates both microbiota composition and the output of health-relevant SCFAs, providing information for a more targeted application of this fiber. Variation in propionate production was linked to both compositional shifts and baseline composition, with PCs derived from shifts of the global microbial community showing the strongest associations. These findings constitute a proof-of-concept for the merit of an ecological framework that considers features of the wider gut microbial community for the prediction of metabolic outcomes of dietary fiber fermentation. This provides a basis to personalize the use of dietary fiber in nutritional application and to stratify human populations by relevant gut microbiota features to account for the inconsistent health effects in human intervention studies.Trial registration: Clinicaltrials.gov,NCT02322112, registered on July 3, 2015.

1 November 2014 in Food Research International
Verified
Journal Article
Closed access
ZZZhengxiao Zhang
Zhengxiao Zhang
CSChristopher Smith
Christopher Smith
WLWeili Li
Weili Li