Christopher M Taylor

Dr. Christopher M Taylor

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Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

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1 June 2020 in Nature Biotechnology
Verified
Journal Article
Closed access
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GDGavin M. Douglas
Gavin M. Douglas
VMVincent J. Maffei
Vincent J. Maffei
JZJesse R. Zaneveld
Jesse R. Zaneveld
SYSvetlana N. Yurgel
Svetlana N. Yurgel
JBJames Raymond Brown
James Raymond Brown
MLMorgan G. I. Langille
Morgan G. I. Langille

15 June 2019 in bioRxiv
Verified
Preprint
Open access
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GDGavin Douglas
Gavin Douglas
VMVincent J. Maffei
Vincent J. Maffei
JZJesse Zaneveld
Jesse Zaneveld
SYSvetlana Yurgel
Svetlana Yurgel
JBJames Raymond Brown
James Raymond Brown
MLMorgan G. I. Langille
Morgan G. I. Langille
One major limitation of microbial community marker gene sequencing is that it does not provide direct information on the functional composition of sampled communities. Here, we present PICRUSt2 ( https://github.com/picrust/picrust2 ), which expands the capabilities of the original PICRUSt method 1 to predict the functional potential of a community based on marker gene sequencing profiles. This updated method and implementation includes several improvements over the previous algorithm: an expanded database of gene families and reference genomes, a new approach now compatible with any OTU-picking or denoising algorithm, and novel phenotype predictions. Upon evaluation, PICRUSt2 was more accurate than PICRUSt1 and other current approaches overall. PICRUSt2 is also now more flexible and allows the addition of custom reference databases. We highlight these improvements and also important caveats regarding the use of predicted metagenomes, which are related to the inherent challenges of analyzing metagenome data in general.

1 April 2015 in Biological Psychiatry
Verified
Journal Article
Closed access
ABAnnadora J. Bruce-Keller
Annadora J. Bruce-Keller
JSJ. Michael Salbaum
J. Michael Salbaum
MLMeng Luo
Meng Luo
EBEugene Blanchard
Eugene Blanchard
CTChristopher M Taylor
Christopher M Taylor
HBHans-Rudolf Berthoud
Hans-Rudolf Berthoud

1 August 2019 in The Journal of Infectious Diseases
Verified
Journal Article
Closed access
CMChristina A. Muzny
Christina A. Muzny
CTChristopher M Taylor
Christopher M Taylor
WSW Edward Swords
W Edward Swords
ATAshutosh Tamhane
Ashutosh Tamhane
DCDebasish Chattopadhyay
Debasish Chattopadhyay
JSJane R Schwebke
Jane R Schwebke
Bacterial vaginosis (BV) is the most common cause of vaginal discharge. It is associated with an increased risk of preterm delivery, pelvic inflammatory disease, and an increased risk of acquisition of sexually transmitted infections including human immunodeficiency virus (HIV). The epidemiology of BV supports sexual transmission. However, its etiology remains unknown. At the center of the debate is whether BV is caused by a primary pathogen or a polymicrobial consortium of microorganisms that are sexually transmitted. We previously published a conceptual model hypothesizing that BV is initiated by sexual transmission of Gardnerella vaginalis. Critics of this model have iterated that G. vaginalis is found in virginal women and in sexually active women with a normal vaginal microbiota. In addition, colonization does not always lead to BV. However, recent advances in BV pathogenesis research have determined the existence of 13 different species within the genus Gardnerella. It may be that healthy women are colonized by nonpathogenic Gardnerella species, whereas virulent strains are involved in BV development. Based on our results from a recent prospective study, in addition to an extensive literature review, we present an updated conceptual model for the pathogenesis of BV that centers on the roles of virulent strains of G. vaginalis, as well as Prevotella bivia and Atopobium vaginae.

25 April 2017 in The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences
Verified
Journal Article
Open access
PDF file
VMVincent J Maffei
Vincent J Maffei
SKSangkyu Kim
Sangkyu Kim
EBEugene Blanchard
Eugene Blanchard
MLMeng Luo
Meng Luo
SJS Michal Jazwinski
S Michal Jazwinski
DWDavid A Welsh
David A Welsh
The human gastrointestinal microbiota plays a key homeostatic role in normal functioning of physiologic processes commonly undermined by aging. We used a previously validated 34-item frailty index (FI34) to identify changes in gut microbiota community structure associated with biological age of community-dwelling adults. Stool 16S rRNA cDNA libraries from 85 subjects ranging in age (43–79) and FI34 score (0–0.365) were deep sequenced, denoised, and clustered using DADA2. Subject biological age but not chronological age correlated with a decrease in stool microbial diversity. Specific microbial genera were differentially abundant in the lower, middle, and upper 33rd percentiles of biological age. Using Sparse Inverse Covariance Estimation for Ecological Association and Statistical Inference (SPIEC-EASI) and Weighted Gene Co-Expression Network Analysis (WGCNA), we identified modules of coabundant microbial genera that distinguished biological from chronological aging. A biological age-associated module composed of Eggerthella, Ruminococcus, and Coprobacillus genera was robust to correction for subject age, sex, body mass index, antibiotic usage, and other confounders. Subject FI34 score positively correlated with the abundance of this module, which exhibited a distinct inferred metagenome as predicted by Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt). We conclude that increasing biological age in community-dwelling adults is associated with gastrointestinal dysbiosis.

19 December 2016 in Journal of Experimental Medicine
Verified
Journal Article
Open access
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BHBaokun He
Baokun He
THThomas K. Hoang
Thomas K. Hoang
TWTing Wang
Ting Wang
MFMichael Ferris
Michael Ferris
CTChristopher M Taylor
Christopher M Taylor
YLYuying Liu
Yuying Liu
Regulatory T (T reg) cell deficiency causes lethal, CD4+ T cell–driven autoimmune diseases. Stem cell transplantation is used to treat these diseases, but this procedure is limited by the availability of a suitable donor. The intestinal microbiota drives host immune homeostasis by regulating the differentiation and expansion of T reg, Th1, and Th2 cells. It is currently unclear if T reg cell deficiency–mediated autoimmune disorders can be treated by targeting the enteric microbiota. Here, we demonstrate that Foxp3+ T reg cell deficiency results in gut microbial dysbiosis and autoimmunity over the lifespan of scurfy (SF) mouse. Remodeling microbiota with Lactobacillus reuteri prolonged survival and reduced multiorgan inflammation in SF mice. L. reuteri changed the metabolomic profile disrupted by T reg cell deficiency, and a major effect was to restore levels of the purine metabolite inosine. Feeding inosine itself prolonged life and inhibited multiorgan inflammation by reducing Th1/Th2 cells and their associated cytokines. Mechanistically, the inhibition of inosine on the differentiation of Th1 and Th2 cells in vitro depended on adenosine A2A receptors, which were also required for the efficacy of inosine and of L. reuteri in vivo. These results reveal that the microbiota–inosine–A2A receptor axis might represent a potential avenue for combatting autoimmune diseases mediated by T reg cell dysfunction.