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Li, Ning

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Li

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Ning

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Li, Ning
Author's Publications: search.filters.isAuthorOfPublication.4f36a991-7e05-4e1c-9587-250114ab72da

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Now showing 1 - 5 of 5
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    Alterations of the human gut microbiome in multiple sclerosis
    (Nature Publishing Group, 2016) Jangi, Sushrut; Gandhi, Roopali; Cox, Laura; Li, Ning; von Glehn, Felipe; Yan, Raymond; Patel, Bonny; Mazzola, Maria; Liu, Shirong; Glanz, Bonnie; Cook, Sandra; Tankou, Stephanie; Stuart, Fiona; Melo, Kirsy; Nejad, Parham; Smith, Kathleen; Topçuolu, Begüm D.; Holden, James; Kivisakk, Pia; Chitnis, Tanuja; De Jager, Philip; Quintana, Francisco; Gerber, Georg; Bry, Lynn; Weiner, Howard
    The gut microbiome plays an important role in immune function and has been implicated in several autoimmune disorders. Here we use 16S rRNA sequencing to investigate the gut microbiome in subjects with multiple sclerosis (MS, n=60) and healthy controls (n=43). Microbiome alterations in MS include increases in Methanobrevibacter and Akkermansia and decreases in Butyricimonas, and correlate with variations in the expression of genes involved in dendritic cell maturation, interferon signalling and NF-kB signalling pathways in circulating T cells and monocytes. Patients on disease-modifying treatment show increased abundances of Prevotella and Sutterella, and decreased Sarcina, compared with untreated patients. MS patients of a second cohort show elevated breath methane compared with controls, consistent with our observation of increased gut Methanobrevibacter in MS in the first cohort. Further study is required to assess whether the observed alterations in the gut microbiome play a role in, or are a consequence of, MS pathogenesis.
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    MDSINE: Microbial Dynamical Systems INference Engine for microbiome time-series analyses
    (BioMed Central, 2016) Bucci, Vanni; Tzen, Belinda; Li, Ning; Simmons, Matt; Tanoue, Takeshi; Bogart, Elijah; Deng, Luxue; Yeliseyev, Vladimir; Delaney, Mary; Liu, Qing; Olle, Bernat; Stein, Richard R.; Honda, Kenya; Bry, Lynn; Gerber, Georg
    Predicting dynamics of host-microbial ecosystems is crucial for the rational design of bacteriotherapies. We present MDSINE, a suite of algorithms for inferring dynamical systems models from microbiome time-series data and predicting temporal behaviors. Using simulated data, we demonstrate that MDSINE significantly outperforms the existing inference method. We then show MDSINE’s utility on two new gnotobiotic mice datasets, investigating infection with Clostridium difficile and an immune-modulatory probiotic. Using these datasets, we demonstrate new capabilities, including accurate forecasting of microbial dynamics, prediction of stable sub-communities that inhibit pathogen growth, and identification of bacteria most crucial to community integrity in response to perturbations. Electronic supplementary material The online version of this article (doi:10.1186/s13059-016-0980-6) contains supplementary material, which is available to authorized users.
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    Genomically Informed Surveillance for Carbapenem-Resistant Enterobacteriaceae in a Health Care System
    (American Society of Microbiology, 2015) Pecora, Nicole D.; Li, Ning; Allard, Marc; Li, Cong; Albano, Esperanza; Delaney, Mary; Dubois, Andrea; Onderdonk, Andrew; Bry, Lynn
    ABSTRACT Carbapenem-resistant Enterobacteriaceae (CRE) are an urgent public health concern. Rapid identification of the resistance genes, their mobilization capacity, and strains carrying them is essential to direct hospital resources to prevent spread and improve patient outcomes. Whole-genome sequencing allows refined tracking of both chromosomal traits and associated mobile genetic elements that harbor resistance genes. To enhance surveillance of CREs, clinical isolates with phenotypic resistance to carbapenem antibiotics underwent whole-genome sequencing. Analysis of 41 isolates of Klebsiella pneumoniae and Enterobacter cloacae, collected over a 3-year period, identified K. pneumoniae carbapenemase (KPC) genes encoding KPC-2, −3, and −4 and OXA-48 carbapenemases. All occurred within transposons, including multiple Tn4401 transposon isoforms, embedded within more than 10 distinct plasmids representing incompatibility (Inc) groups IncR, -N, -A/C, -H, and -X. Using short-read sequencing, draft maps were generated of new KPC-carrying vectors, several of which were derivatives of the IncN plasmid pBK31551. Two strains also had Tn4401 chromosomal insertions. Integrated analyses of plasmid profiles and chromosomal single-nucleotide polymorphism (SNP) profiles refined the strain patterns and provided a baseline hospital mobilome to facilitate analysis of new isolates. When incorporated with patient epidemiological data, the findings identified limited outbreaks against a broader 3-year period of sporadic external entry of many different strains and resistance vectors into the hospital. These findings highlight the utility of genomic analyses in internal and external surveillance efforts to stem the transmission of drug-resistant strains within and across health care institutions.
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    Improving microbial fitness in the mammalian gut by in vivo temporal functional metagenomics
    (BlackWell Publishing Ltd, 2015) Yaung, Stephanie J.; Deng, Luxue; Li, Ning; Braff, Jonathan; Church, George; Bry, Lynn; Wang, Harris H; Gerber, Georg
    Elucidating functions of commensal microbial genes in the mammalian gut is challenging because many commensals are recalcitrant to laboratory cultivation and genetic manipulation. We present Temporal FUnctional Metagenomics sequencing (TFUMseq), a platform to functionally mine bacterial genomes for genes that contribute to fitness of commensal bacteria in vivo. Our approach uses metagenomic DNA to construct large-scale heterologous expression libraries that are tracked over time in vivo by deep sequencing and computational methods. To demonstrate our approach, we built a TFUMseq plasmid library using the gut commensal Bacteroides thetaiotaomicron (Bt) and introduced Escherichia coli carrying this library into germfree mice. Population dynamics of library clones revealed Bt genes conferring significant fitness advantages in E. coli over time, including carbohydrate utilization genes, with a Bt galactokinase central to early colonization, and subsequent dominance by a Bt glycoside hydrolase enabling sucrose metabolism coupled with co-evolution of the plasmid library and E. coli genome driving increased galactose utilization. Our findings highlight the utility of functional metagenomics for engineering commensal bacteria with improved properties, including expanded colonization capabilities in vivo.
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    HIV burden in men who have sex with men: a prospective cohort study 2007–2012
    (Nature Publishing Group, 2015) Jia, Zhongwei; Huang, Xiaojie; Wu, Hao; Zhang, Tong; Li, Ning; Ding, Peipei; Sun, Yixuan; Liu, Zhiying; Wei, Feili; Zhang, Hongwei; Jiao, Yanmei; Ji, Yunxia; Zhang, Yonghong; Guo, Caiping; Li, Wei; Mou, Danlei; Xia, Wei; Li, Zhen; Chen, Dexi; Yan, Huiping; Chen, Xinyue; Zhao, Jinkou; Meyers, Kathrine; Cohen, Ted; Mayer, Kenneth; Salomon, Joshua; Lu, Zuhong; Dye, Christopher
    We conducted a prospective cohort study among HIV-negative MSM aged 18 years or older between 2007 and 2012 in Beijing, China to measure the rates of incident HIV and identify risk factors for infection. Among 5,800 participants evaluated at enrollment, we identified 486 prevalent cases of HIV (8.4%). Among the 3,625 enrollees who were HIV-negative at enrollment and completed at least one follow-up interview, we identified 440 incident cases of HIV in the follow up period: this constituted an HIV incidence rate of 7.1 per 100 person-years (95% CI: 6.4-7.7). Early treatment of syphilis may have significantly reduced risk of HIV infection (RR: 1.45, 95% CI: 1.11-1.93), while MSM presenting perfect compliance in the cohort did not show reduction in HIV infection. Our study suggested that HIV incidence has been remained high in this sample of Chinese MSM during the intensive preventive intervention, suggesting that we need to find new strategies to prevent HIV infection in this population.