Comparison of brush and biopsy sampling methods of the ileal pouch for assessment of mucosa-associated microbiota of human subjects
Mucosal biopsy is the most common sampling technique used to assess microbial communities associated with the intestinal mucosa. Biopsies disrupt the epithelium and can be associated with complications such as bleeding. Biopsies sample a limited area of the mucosa, which can lead to potential sampli...
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Published in | Microbiome Vol. 2; no. 1; p. 5 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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BioMed Central Ltd
14.02.2014
BioMed Central |
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Abstract | Mucosal biopsy is the most common sampling technique used to assess microbial communities associated with the intestinal mucosa. Biopsies disrupt the epithelium and can be associated with complications such as bleeding. Biopsies sample a limited area of the mucosa, which can lead to potential sampling bias. In contrast to the mucosal biopsy, the mucosal brush technique is less invasive and provides greater mucosal coverage, and if it can provide equivalent microbial community data, it would be preferable to mucosal biopsies.
We compared microbial samples collected from the intestinal mucosa using either a cytology brush or mucosal biopsy forceps. We collected paired samples from patients with ulcerative colitis (UC) who had previously undergone colectomy and ileal pouch anal anastomosis (IPAA), and profiled the microbial communities of the samples by sequencing V4-V6 or V4-V5 16S rRNA-encoding gene amplicons. Comparisons of 177 taxa in 16 brush-biopsy sample pairs had a mean R2 of 0.94. We found no taxa that varied significantly between the brush and biopsy samples after adjusting for multiple comparisons (false discovery rate ≤0.05). We also tested the reproducibility of DNA amplification and sequencing in 25 replicate pairs and found negligible variation (mean R2 = 0.99). A qPCR analysis of the two methods showed that the relative yields of bacterial DNA to human DNA were several-fold higher in the brush samples than in the biopsies.
Mucosal brushing is preferred to mucosal biopsy for sampling the epithelial-associated microbiota. Although both techniques provide similar assessments of the microbial community composition, the brush sampling method has relatively more bacterial to host DNA, covers a larger surface area, and is less traumatic to the epithelium than the mucosal biopsy. |
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AbstractList | Mucosal biopsy is the most common sampling technique used to assess microbial communities associated with the intestinal mucosa. Biopsies disrupt the epithelium and can be associated with complications such as bleeding. Biopsies sample a limited area of the mucosa, which can lead to potential sampling bias. In contrast to the mucosal biopsy, the mucosal brush technique is less invasive and provides greater mucosal coverage, and if it can provide equivalent microbial community data, it would be preferable to mucosal biopsies.BACKGROUNDMucosal biopsy is the most common sampling technique used to assess microbial communities associated with the intestinal mucosa. Biopsies disrupt the epithelium and can be associated with complications such as bleeding. Biopsies sample a limited area of the mucosa, which can lead to potential sampling bias. In contrast to the mucosal biopsy, the mucosal brush technique is less invasive and provides greater mucosal coverage, and if it can provide equivalent microbial community data, it would be preferable to mucosal biopsies.We compared microbial samples collected from the intestinal mucosa using either a cytology brush or mucosal biopsy forceps. We collected paired samples from patients with ulcerative colitis (UC) who had previously undergone colectomy and ileal pouch anal anastomosis (IPAA), and profiled the microbial communities of the samples by sequencing V4-V6 or V4-V5 16S rRNA-encoding gene amplicons. Comparisons of 177 taxa in 16 brush-biopsy sample pairs had a mean R2 of 0.94. We found no taxa that varied significantly between the brush and biopsy samples after adjusting for multiple comparisons (false discovery rate ≤0.05). We also tested the reproducibility of DNA amplification and sequencing in 25 replicate pairs and found negligible variation (mean R2 = 0.99). A qPCR analysis of the two methods showed that the relative yields of bacterial DNA to human DNA were several-fold higher in the brush samples than in the biopsies.RESULTSWe compared microbial samples collected from the intestinal mucosa using either a cytology brush or mucosal biopsy forceps. We collected paired samples from patients with ulcerative colitis (UC) who had previously undergone colectomy and ileal pouch anal anastomosis (IPAA), and profiled the microbial communities of the samples by sequencing V4-V6 or V4-V5 16S rRNA-encoding gene amplicons. Comparisons of 177 taxa in 16 brush-biopsy sample pairs had a mean R2 of 0.94. We found no taxa that varied significantly between the brush and biopsy samples after adjusting for multiple comparisons (false discovery rate ≤0.05). We also tested the reproducibility of DNA amplification and sequencing in 25 replicate pairs and found negligible variation (mean R2 = 0.99). A qPCR analysis of the two methods showed that the relative yields of bacterial DNA to human DNA were several-fold higher in the brush samples than in the biopsies.Mucosal brushing is preferred to mucosal biopsy for sampling the epithelial-associated microbiota. Although both techniques provide similar assessments of the microbial community composition, the brush sampling method has relatively more bacterial to host DNA, covers a larger surface area, and is less traumatic to the epithelium than the mucosal biopsy.CONCLUSIONSMucosal brushing is preferred to mucosal biopsy for sampling the epithelial-associated microbiota. Although both techniques provide similar assessments of the microbial community composition, the brush sampling method has relatively more bacterial to host DNA, covers a larger surface area, and is less traumatic to the epithelium than the mucosal biopsy. Mucosal biopsy is the most common sampling technique used to assess microbial communities associated with the intestinal mucosa. Biopsies disrupt the epithelium and can be associated with complications such as bleeding. Biopsies sample a limited area of the mucosa, which can lead to potential sampling bias. In contrast to the mucosal biopsy, the mucosal brush technique is less invasive and provides greater mucosal coverage, and if it can provide equivalent microbial community data, it would be preferable to mucosal biopsies. Results: We compared microbial samples collected from the intestinal mucosa using either a cytology brush or mucosal biopsy forceps. We collected paired samples from patients with ulcerative colitis (UC) who had previously undergone colectomy and ileal pouch anal anastomosis (IPAA), and profiled the microbial communities of the samples by sequencing V4-V6 or V4-V5 16S rRNA-encoding gene amplicons. Comparisons of 177 taxa in 16 brush-biopsy sample pairs had a mean R2 of 0.94. We found no taxa that varied significantly between the brush and biopsy samples after adjusting for multiple comparisons (false discovery rate ≤0.05). We also tested the reproducibility of DNA amplification and sequencing in 25 replicate pairs and found negligible variation (mean R2 = 0.99). A qPCR analysis of the two methods showed that the relative yields of bacterial DNA to human DNA were several-fold higher in the brush samples than in the biopsies. Conclusions: Mucosal brushing is preferred to mucosal biopsy for sampling the epithelial-associated microbiota. Although both techniques provide similar assessments of the microbial community composition, the brush sampling method has relatively more bacterial to host DNA, covers a larger surface area, and is less traumatic to the epithelium than the mucosal biopsy. Mucosal biopsy is the most common sampling technique used to assess microbial communities associated with the intestinal mucosa. Biopsies disrupt the epithelium and can be associated with complications such as bleeding. Biopsies sample a limited area of the mucosa, which can lead to potential sampling bias. In contrast to the mucosal biopsy, the mucosal brush technique is less invasive and provides greater mucosal coverage, and if it can provide equivalent microbial community data, it would be preferable to mucosal biopsies. We compared microbial samples collected from the intestinal mucosa using either a cytology brush or mucosal biopsy forceps. We collected paired samples from patients with ulcerative colitis (UC) who had previously undergone colectomy and ileal pouch anal anastomosis (IPAA), and profiled the microbial communities of the samples by sequencing V4-V6 or V4-V5 16S rRNA-encoding gene amplicons. Comparisons of 177 taxa in 16 brush-biopsy sample pairs had a mean R2 of 0.94. We found no taxa that varied significantly between the brush and biopsy samples after adjusting for multiple comparisons (false discovery rate ≤0.05). We also tested the reproducibility of DNA amplification and sequencing in 25 replicate pairs and found negligible variation (mean R2 = 0.99). A qPCR analysis of the two methods showed that the relative yields of bacterial DNA to human DNA were several-fold higher in the brush samples than in the biopsies. Mucosal brushing is preferred to mucosal biopsy for sampling the epithelial-associated microbiota. Although both techniques provide similar assessments of the microbial community composition, the brush sampling method has relatively more bacterial to host DNA, covers a larger surface area, and is less traumatic to the epithelium than the mucosal biopsy. BACKGROUND: Mucosal biopsy is the most common sampling technique used to assess microbial communities associated with the intestinal mucosa. Biopsies disrupt the epithelium and can be associated with complications such as bleeding. Biopsies sample a limited area of the mucosa, which can lead to potential sampling bias. In contrast to the mucosal biopsy, the mucosal brush technique is less invasive and provides greater mucosal coverage, and if it can provide equivalent microbial community data, it would be preferable to mucosal biopsies. RESULTS: We compared microbial samples collected from the intestinal mucosa using either a cytology brush or mucosal biopsy forceps. We collected paired samples from patients with ulcerative colitis (UC) who had previously undergone colectomy and ileal pouch anal anastomosis (IPAA), and profiled the microbial communities of the samples by sequencing V4-V6 or V4-V5 16S rRNA-encoding gene amplicons. Comparisons of 177 taxa in 16 brush-biopsy sample pairs had a mean R2 of 0.94. We found no taxa that varied significantly between the brush and biopsy samples after adjusting for multiple comparisons (false discovery rate ≤0.05). We also tested the reproducibility of DNA amplification and sequencing in 25 replicate pairs and found negligible variation (mean R2 = 0.99). A qPCR analysis of the two methods showed that the relative yields of bacterial DNA to human DNA were several-fold higher in the brush samples than in the biopsies. CONCLUSIONS: Mucosal brushing is preferred to mucosal biopsy for sampling the epithelial-associated microbiota. Although both techniques provide similar assessments of the microbial community composition, the brush sampling method has relatively more bacterial to host DNA, covers a larger surface area, and is less traumatic to the epithelium than the mucosal biopsy. |
ArticleNumber | 5 |
Author | Raffals, Laura E Dalal, Sushila Shen, Lici Sogin, Mitchell L Young, Vincent B Antonopoulos, Dionysios A Huse, Susan M Vineis, Joseph H Chang, Eugene B Kwon, John Hubert, Nathaniel A Arrieta, Rose Koval, Jason C Morrison, Hilary G |
AuthorAffiliation | 7 Department of Internal Medicine, Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA 3 Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, USA 5 Institute for Genomics and Systems Biology, Argonne National Laboratory, Argonne, IL, USA 6 Department of Medicine, Section of Gastroenterology, The University of Chicago, Knapp Center for Biomedical Discovery, Chicago, IL, USA 2 Department of Internal Medicine, Division of Infectious Diseases, Ann Arbor, MI, USA 4 Josephine Bay Paul Center, Marine Biological Laboratory, Woods Hole, MA, USA 1 Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA |
AuthorAffiliation_xml | – name: 7 Department of Internal Medicine, Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA – name: 6 Department of Medicine, Section of Gastroenterology, The University of Chicago, Knapp Center for Biomedical Discovery, Chicago, IL, USA – name: 1 Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA – name: 5 Institute for Genomics and Systems Biology, Argonne National Laboratory, Argonne, IL, USA – name: 3 Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, USA – name: 2 Department of Internal Medicine, Division of Infectious Diseases, Ann Arbor, MI, USA – name: 4 Josephine Bay Paul Center, Marine Biological Laboratory, Woods Hole, MA, USA |
Author_xml | – sequence: 1 givenname: Susan M surname: Huse fullname: Huse, Susan M – sequence: 2 givenname: Vincent B surname: Young fullname: Young, Vincent B – sequence: 3 givenname: Hilary G surname: Morrison fullname: Morrison, Hilary G – sequence: 4 givenname: Dionysios A surname: Antonopoulos fullname: Antonopoulos, Dionysios A – sequence: 5 givenname: John surname: Kwon fullname: Kwon, John – sequence: 6 givenname: Sushila surname: Dalal fullname: Dalal, Sushila – sequence: 7 givenname: Rose surname: Arrieta fullname: Arrieta, Rose – sequence: 8 givenname: Nathaniel A surname: Hubert fullname: Hubert, Nathaniel A – sequence: 9 givenname: Lici surname: Shen fullname: Shen, Lici – sequence: 10 givenname: Joseph H surname: Vineis fullname: Vineis, Joseph H – sequence: 11 givenname: Jason C surname: Koval fullname: Koval, Jason C – sequence: 12 givenname: Mitchell L surname: Sogin fullname: Sogin, Mitchell L – sequence: 13 givenname: Eugene B surname: Chang fullname: Chang, Eugene B – sequence: 14 givenname: Laura E surname: Raffals fullname: Raffals, Laura E |
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Cites_doi | 10.1186/gb-2007-8-7-r143 10.18637/jss.v040.i09 10.1186/gb-2011-12-6-r60 10.1186/1471-2180-12-144 10.1371/journal.pone.0066643 10.1007/s11894-013-0323-7 10.1371/journal.pgen.1000255 10.1186/1471-2105-15-41 10.1016/0076-6879(94)35142-2 10.1177/0884533612452012 10.1186/2049-2618-1-9 10.1016/j.bpg.2013.03.007 10.2217/fmb.13.17 10.1093/bioinformatics/btr381 10.1093/nar/gkm864 10.3389/fmicb.2011.00144 10.1038/ismej.2012.97 10.1007/s00125-012-2672-4 10.1007/s00535-013-0777-2 10.1099/00221287-148-1-257 10.1101/gr.112730.110 |
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References | K Vipperla (33_CR4) 2012; 27 S Huse (33_CR14) 2007; 8 VT Marteinsson (33_CR10) 2013; 7 N Segata (33_CR24) 2011; 12 VB Young (33_CR1) 2011; 2 BJ Haas (33_CR17) 2011; 21 L Öhman (33_CR8) 2013; 15 SM Huse (33_CR18) 2008; 4 JP Wang (33_CR23) 2011; 40 A Everard (33_CR3) 2013; 27 A Nitsche (33_CR12) 2001; 86 C Dejea (33_CR6) 2013; 8 AM Eren (33_CR15) 2013; 8 VB Young (33_CR9) 2013; 1 RC Edgar (33_CR16) 2011; 27 MA Nadkarni (33_CR11) 2002; 148 V Leone (33_CR5) 2013; 48 A Chao (33_CR21) 1984; 11 S Pushalkar (33_CR2) 2012; 12 MA Atkinson (33_CR7) 2012; 55 E Pruesse (33_CR19) 2007; 35 R Core Team (33_CR22) 2013 TM Schmidt (33_CR13) 1994; 235 SM Huse (33_CR20) 2014; 15 24451366 - Microbiome. 2013 Mar 04;1(1):9 23534358 - Future Microbiol. 2013 Apr;8(4):445-60 11454523 - Haematologica. 2001 Jul;86(7):693-9 22975882 - ISME J. 2013 Feb;7(2):427-37 23475322 - J Gastroenterol. 2013 Mar;48(3):315-21 22868282 - Nutr Clin Pract. 2012 Oct;27(5):624-35 24499292 - BMC Bioinformatics. 2014 Feb 05;15:41 23580243 - Curr Gastroenterol Rep. 2013 May;15(5):323 21702898 - Genome Biol. 2011 Jun 24;12(6):R60 17659080 - Genome Biol. 2007;8(7):R143 23799126 - PLoS One. 2013 Jun 17;8(6):e66643 19023400 - PLoS Genet. 2008 Nov;4(11):e1000255 21700674 - Bioinformatics. 2011 Aug 15;27(16):2194-200 23768554 - Best Pract Res Clin Gastroenterol. 2013 Feb;27(1):73-83 21212162 - Genome Res. 2011 Mar;21(3):494-504 7520119 - Methods Enzymol. 1994;235:205-22 17947321 - Nucleic Acids Res. 2007;35(21):7188-96 22817758 - BMC Microbiol. 2012 Jul 20;12:144 22875196 - Diabetologia. 2012 Nov;55(11):2868-77 21772835 - Front Microbiol. 2011 Jul 05;2:144 11782518 - Microbiology. 2002 Jan;148(Pt 1):257-66 |
References_xml | – volume: 8 start-page: R143 year: 2007 ident: 33_CR14 publication-title: Genome Biol doi: 10.1186/gb-2007-8-7-r143 – volume: 40 start-page: 1 issue: 9 year: 2011 ident: 33_CR23 publication-title: J Stat Software doi: 10.18637/jss.v040.i09 – volume: 12 start-page: R60 year: 2011 ident: 33_CR24 publication-title: Genome Biol doi: 10.1186/gb-2011-12-6-r60 – volume: 12 start-page: 144 year: 2012 ident: 33_CR2 publication-title: BMC Microbiol doi: 10.1186/1471-2180-12-144 – volume: 8 start-page: e66643 year: 2013 ident: 33_CR15 publication-title: PLoS ONE doi: 10.1371/journal.pone.0066643 – volume: 15 start-page: 1 year: 2013 ident: 33_CR8 publication-title: Curr Gastroenterol Rep doi: 10.1007/s11894-013-0323-7 – volume: 4 start-page: e1000255 year: 2008 ident: 33_CR18 publication-title: PLoS Genet doi: 10.1371/journal.pgen.1000255 – volume: 15 start-page: 41 year: 2014 ident: 33_CR20 publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-15-41 – volume-title: R: A language and environment for statistical computing year: 2013 ident: 33_CR22 – volume: 235 start-page: 205 year: 1994 ident: 33_CR13 publication-title: Methods Enzymol doi: 10.1016/0076-6879(94)35142-2 – volume: 27 start-page: 624 year: 2012 ident: 33_CR4 publication-title: Nutr Clin Pract doi: 10.1177/0884533612452012 – volume: 1 start-page: 9 year: 2013 ident: 33_CR9 publication-title: Microbiome doi: 10.1186/2049-2618-1-9 – volume: 27 start-page: 73 year: 2013 ident: 33_CR3 publication-title: Best Pract Res Clin Gastroenterol doi: 10.1016/j.bpg.2013.03.007 – volume: 8 start-page: 445 year: 2013 ident: 33_CR6 publication-title: Future Microbiol doi: 10.2217/fmb.13.17 – volume: 27 start-page: 2194 year: 2011 ident: 33_CR16 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btr381 – volume: 86 start-page: 693 year: 2001 ident: 33_CR12 publication-title: Haematologica – volume: 11 start-page: 265 year: 1984 ident: 33_CR21 publication-title: Scand J Stat – volume: 35 start-page: 7188 year: 2007 ident: 33_CR19 publication-title: Nucl Acids Res doi: 10.1093/nar/gkm864 – volume: 2 start-page: 144 year: 2011 ident: 33_CR1 publication-title: Front Microbiol doi: 10.3389/fmicb.2011.00144 – volume: 7 start-page: 427 year: 2013 ident: 33_CR10 publication-title: ISME J doi: 10.1038/ismej.2012.97 – volume: 55 start-page: 2868 year: 2012 ident: 33_CR7 publication-title: Diabetologia doi: 10.1007/s00125-012-2672-4 – volume: 48 start-page: 315 year: 2013 ident: 33_CR5 publication-title: J Gastroenterol doi: 10.1007/s00535-013-0777-2 – volume: 148 start-page: 257 year: 2002 ident: 33_CR11 publication-title: Microbiology doi: 10.1099/00221287-148-1-257 – volume: 21 start-page: 494 year: 2011 ident: 33_CR17 publication-title: Genome Res doi: 10.1101/gr.112730.110 – reference: 19023400 - PLoS Genet. 2008 Nov;4(11):e1000255 – reference: 22868282 - Nutr Clin Pract. 2012 Oct;27(5):624-35 – reference: 23768554 - Best Pract Res Clin Gastroenterol. 2013 Feb;27(1):73-83 – reference: 23475322 - J Gastroenterol. 2013 Mar;48(3):315-21 – reference: 11782518 - Microbiology. 2002 Jan;148(Pt 1):257-66 – reference: 17947321 - Nucleic Acids Res. 2007;35(21):7188-96 – reference: 24499292 - BMC Bioinformatics. 2014 Feb 05;15:41 – reference: 22817758 - BMC Microbiol. 2012 Jul 20;12:144 – reference: 21702898 - Genome Biol. 2011 Jun 24;12(6):R60 – reference: 23534358 - Future Microbiol. 2013 Apr;8(4):445-60 – reference: 22875196 - Diabetologia. 2012 Nov;55(11):2868-77 – reference: 23799126 - PLoS One. 2013 Jun 17;8(6):e66643 – reference: 21212162 - Genome Res. 2011 Mar;21(3):494-504 – reference: 7520119 - Methods Enzymol. 1994;235:205-22 – reference: 11454523 - Haematologica. 2001 Jul;86(7):693-9 – reference: 24451366 - Microbiome. 2013 Mar 04;1(1):9 – reference: 21772835 - Front Microbiol. 2011 Jul 05;2:144 – reference: 21700674 - Bioinformatics. 2011 Aug 15;27(16):2194-200 – reference: 23580243 - Curr Gastroenterol Rep. 2013 May;15(5):323 – reference: 17659080 - Genome Biol. 2007;8(7):R143 – reference: 22975882 - ISME J. 2013 Feb;7(2):427-37 |
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Snippet | Mucosal biopsy is the most common sampling technique used to assess microbial communities associated with the intestinal mucosa. Biopsies disrupt the... BACKGROUND: Mucosal biopsy is the most common sampling technique used to assess microbial communities associated with the intestinal mucosa. Biopsies disrupt... |
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SubjectTerms | BASIC BIOLOGICAL SCIENCES cytology brush microbial sampling microbiome microbiome methods Microbiome methods mucosal biopsy mucosal brushing ulcerative colitis |
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Title | Comparison of brush and biopsy sampling methods of the ileal pouch for assessment of mucosa-associated microbiota of human subjects |
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