A non-endoscopic device to sample the oesophageal microbiota: a case-control study  Daffolyn R Fels Elliott, MD, Alan W Walker, PhD, Maria O'Donovan, MD,

Slides:



Advertisements
Similar presentations
Food systems, nutrition, health and the environment
Advertisements

M. Malone, K. Johani, S. O. Jensen, I. B. Gosbell, H. G. Dickson, H
Volume 152, Issue 4, Pages e7 (March 2017)
Demographic and practice factors predicting repeated non-attendance in primary care: a national retrospective cohort analysis  David A Ellis, PhD, Ross.
Eosinophilic airway inflammation in asthmatic patients is associated with an altered airway microbiome  Asger Sverrild, MD, PhD, Pia Kiilerich, MSc, PhD,
Author gender in The Lancet journals
Inflammatory phenotypes in patients with severe asthma are associated with distinct airway microbiology  Steven L. Taylor, BSc, Lex E.X. Leong, PhD, Jocelyn.
Volume 160, Issue 3, Pages (January 2015)
Volume 152, Issue 1, Pages e8 (January 2017)
Volume 153, Issue 6, Pages e6 (December 2017)
Molecular endoscopy for targeted imaging in the digestive tract
Charity begins at home in global health research funding
Analysis of the factors affecting the formation of the microbiome associated with chronic osteomyelitis of the jaw  A. Goda, F. Maruyama, Y. Michi, I.
Household energy and health: where next for research and practice?
Risk stratification of Barrett's oesophagus using a non-endoscopic sampling method coupled with a biomarker panel: a cohort study  Caryn S Ross-Innes,
Midlife contributors to socioeconomic differences in frailty during later life: a prospective cohort study  Prof Eric J Brunner, PhD, Martin J Shipley,
Do air quality alerts benefit public health? New evidence from Canada
Volume 137, Issue 2, Pages (August 2009)
Microbiota studies in the bile duct strongly suggest a role for Helicobacter pylori in extrahepatic cholangiocarcinoma  F. Avilés-Jiménez, A. Guitron,
Volume 17, Issue 3, Pages (March 2015)
Nicola Low, Joost H Smid  The Lancet Public Health 
Vijay R. Ramakrishnan, MD, Leah J. Hauser, MD, Leah M
Effective cross-sector collaborations create sustainability
Volume 4, Issue 2, Pages (February 2017)
Martin Depner, PhD, Markus J. Ege, MD, Michael J
National, regional, and global prevalence of smoking during pregnancy in the general population: a systematic review and meta-analysis  Shannon Lange,
Majda Dzidic, MSc, Thomas R
Malebona Precious Matsoso, Jeanette Rebecca Hunter, Vishal Brijlal 
Volume 4, Issue 6, Pages (June 2017)
Lower airway microbiota and mycobiota in children with severe asthma
Food systems, nutrition, health and the environment
The effect of multiple adverse childhood experiences on health: a systematic review and meta-analysis  Prof Karen Hughes, PhD, Prof Mark A Bellis, DSc,
Measuring health and economic wellbeing in the Sustainable Development Goals era: development of a poverty-free life expectancy metric and estimates for.
Comparison of sputum collection methods for tuberculosis diagnosis: a systematic review and pairwise and network meta-analysis  Dr Sumona Datta, MD, Lena.
Skin Microbiome Surveys Are Strongly Influenced by Experimental Design
Taxonomic composition of the baboon and human gut microbiota.
Risk of poor development in young children in low-income and middle-income countries: an estimation and analysis at the global, regional, and country.
Person-centred maternity care in low-income and middle-income countries: analysis of data from Kenya, Ghana, and India  Patience A Afulani, PhD, Beth.
The NLR Protein NLRP6 Does Not Impact Gut Microbiota Composition
FIGURE 1 α-Diversity comparisons of gut microbiota from DM and MOM infants by age and antibiotic exposure. Using ... FIGURE 1 α-Diversity comparisons of.
Volume 393, Issue 10172, Pages (February 2019)
Volume 393, Issue 10172, Pages (February 2019)
Volume 146, Issue 2, Pages e4 (February 2014)
Volume 13, Issue 8, Pages (November 2015)
Elder abuse prevalence in community settings: a systematic review and meta-analysis  Yongjie Yon, MA, Christopher R Mikton, PhD, Zachary D Gassoumis, PhD,
Forecasting the care needs of the older population in England over the next 20 years: estimates from the Population Ageing and Care Simulation (PACSim)
Implementation of key demand-reduction measures of the WHO Framework Convention on Tobacco Control and change in smoking prevalence in 126 countries:
Thank you to our diverse (but not diverse enough) reviewers
Identification of risk factors associated with carriage of resistant Escherichia coli in three culturally diverse ethnic groups in Tanzania: a biological.
Incidence and prevalence of dementia associated with transient ischaemic attack and stroke: analysis of the population-based Oxford Vascular Study  Sarah.
Volume 6, Issue 3, Pages (March 2019)
Volume 14, Issue 6, Pages (December 2013)
Implementation of key demand-reduction measures of the WHO Framework Convention on Tobacco Control and change in smoking prevalence in 126 countries:
Spatial lifecourse epidemiology
Volume 20, Issue 4, Pages (October 2016)
Altered mycobiota and bacterial-fungal correlation in AS patients receiving different therapeutic regimens. Altered mycobiota and bacterial-fungal correlation.
Improving management of neonatal infections
Jeffrey T Howard, Alexis R Santos-Lozada  The Lancet Planetary Health 
The Diversity of Gut Microbiome is Associated With Favorable Responses to Anti– Programmed Death 1 Immunotherapy in Chinese Patients With NSCLC  Yueping.
Refining treatment choices for ADHD
Use of standardised patients to assess gender differences in quality of tuberculosis care in urban India: a two-city, cross-sectional study  Benjamin.
V. Lazarevic, S. Manzano, N. Gaïa, M. Girard, K. Whiteson, J. Hibbs, P
Journal of Investigative Dermatology
Long-term outcomes of childhood sexual abuse: an umbrella review
Variations in beta and alpha diversity of gut microbiome bacterial communities in relation to presence of Blastocystis. Variations in beta and alpha diversity.
Variations in beta and alpha diversity of gut microbiome eukaryotic communities explained by presence of Blastocystis. Variations in beta and alpha diversity.
Sickle cell disease: a new era
Longitudinal dynamics of in vivo human oral microbiota.
Global burden of latent multidrug-resistant tuberculosis: trends and estimates based on mathematical modelling  Gwenan M Knight, PhD, C Finn McQuaid,
Volume 6, Issue 7, Pages (July 2019)
Presentation transcript:

A non-endoscopic device to sample the oesophageal microbiota: a case-control study  Daffolyn R Fels Elliott, MD, Alan W Walker, PhD, Maria O'Donovan, MD, Prof Julian Parkhill, PhD, Prof Rebecca C Fitzgerald, MD  The Lancet Gastroenterology & Hepatology  Volume 2, Issue 1, Pages 32-42 (January 2017) DOI: 10.1016/S2468-1253(16)30086-3 Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Terms and Conditions

Figure 1 Proportional abundance of microbial taxa (A) Mean proportional abundance of the eight most prevalent phyla and 25 most prevalent families in tissue samples for healthy control patients (n=16), patients with Barrett's oesophagus (n=17), and patients with oesophageal adenocarcinoma (n=15). Significant differences were calculated with linear discriminant analysis effect size (LEfSe), and error bars are standard error of the mean. (B) Mean proportional abundance of representative genera from significantly enriched families identified in (A). Only genera with overall proportional abundances greater than 0·1% are included and error bars are standard error of the mean. *p<0·05. †p<0·01. ‡p<0·001. The Lancet Gastroenterology & Hepatology 2017 2, 32-42DOI: (10.1016/S2468-1253(16)30086-3) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Terms and Conditions

Figure 2 Microbial community composition in Barrett's oesophagus The oesophageal adenocarcinoma and control patient groups largely cluster away from each other in this Bray-Curtis cluster dendrogram (p=0·002, parsimony test), but there is no significant difference in clustering for Barrett's oesophagus. Microbial composition is shown at the family level for each tissue sample. Data were sub-sampled at 631 reads per sample. The Lancet Gastroenterology & Hepatology 2017 2, 32-42DOI: (10.1016/S2468-1253(16)30086-3) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Terms and Conditions

Figure 3 Microbial alpha diversity in oesophageal adenocarcinoma (A) Observed richness of bacterial operational taxonomic units (OTUs). (B) The Chao estimate of total OTU richness and (C) the Shannon diversity index are shown for tissue samples from healthy control patients (n=16), patients with Barrett's oesophagus (n=17), and patients with oesophageal adenocarcinoma (n=15). Statistical significance was calculated with the Kruskal-Wallis test and Dunns multiple comparisons post test. Data were subsampled at 631 reads per sample. (D) Observed richness of bacterial OTUs for paired normal squamous and tumour tissue samples from 13 patients (26 samples), Wilcoxon signed rank test. Data were subsampled at 656 reads per sample. (E) Overall bacterial abundance using 16S rRNA gene qPCR in matched tumour and normal squamous tissue from 16 patients (32 samples), Wilcoxon signed rank test. Error bars represent standard deviation. *p<0·05. †p<0·01. ‡p<0·001. The Lancet Gastroenterology & Hepatology 2017 2, 32-42DOI: (10.1016/S2468-1253(16)30086-3) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Terms and Conditions

Figure 4 Comparison of different methods to sample the oesophageal microbiota (A) Principal coordinate analysis with the Bray-Curtis algorithm for matched endoscopic biopsies, brushes, and Cytosponge samples (31 patients) and 13 throat swabs from a subset of these patients. The first axis (PC1) accounts for 19·6% of the sample variance and the second axis (PC2) accounts for 6·3% of the variance. Data were subsampled at 631 reads per sample. (B) Overall bacterial abundance using 16S rRNA gene-based quantitative PCR in matched endoscopic biopsies, brushes, and Cytosponge samples (20 patients), Friedman test and Dunns multiple comparisons post test. (C) The observed diversity of bacterial operational taxonomic units (OTUs), (D) the Chao estimate of total OTU richness, and (E) the Shannon diversity index for matched endoscopic biopsies, brushes, and Cytosponge samples (31 patients), Friedman test and Dunns multiple comparisons post test. Data were subsampled at 631 reads per sample. *p<0·05. †p<0·01. ‡p<0·001. §p<0·0001. The Lancet Gastroenterology & Hepatology 2017 2, 32-42DOI: (10.1016/S2468-1253(16)30086-3) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Terms and Conditions

Figure 5 Microbial alpha diversity in high-grade dysplasia detected with the Cytosponge (A) Observed richness of bacterial operational taxonomic units (OTUs), (B) the Chao estimate of total OTU richness, and (C) the Shannon diversity index for Cytosponge samples taken from normal squamous control patients (n=20), patients with Barrett's oesophagus (n=24), and patients with high-grade dysplasia (n=23). Statistical significance was calculated with the Kruskal-Wallis test and Dunns multiple comparisons post-test. Data were sub-sampled at 19 303 reads per sample. Error bars represent standard deviation. *p<0·05. The Lancet Gastroenterology & Hepatology 2017 2, 32-42DOI: (10.1016/S2468-1253(16)30086-3) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Terms and Conditions