Ecological and network analyses identify four microbial species with potential significance for the diagnosis/treatment of ulcerative colitis (UC).


Journal

BMC microbiology
ISSN: 1471-2180
Titre abrégé: BMC Microbiol
Pays: England
ID NLM: 100966981

Informations de publication

Date de publication:
04 05 2021
Historique:
received: 03 11 2020
accepted: 05 04 2021
entrez: 5 5 2021
pubmed: 6 5 2021
medline: 11 11 2021
Statut: epublish

Résumé

Ulcerative colitis (UC) is one of the primary types of inflammatory bowel disease (IBD), the occurrence of which has been increasing worldwide. Although IBD is an intensively studied human microbiome-associated disease, research on Chinese populations remains relatively limited, particularly on the mucosal microbiome. The present study aimed to analyze the changes in the mucosal microbiome associated with UC from the perspectives of medical ecology and complex network analysis. In total, 56 mucosal microbiome samples were collected from 28 Chinese UC patients and their healthy family partners, followed by amplicon sequencing. Based on sequencing data, we analyzed species diversity, shared species, and inter-species interactions at the whole community, main phyla, and core/periphery species levels. We identified four opportunistic "pathogens" (i.e., Clostridium tertium, Odoribacter splanchnicus, Ruminococcus gnavus, and Flavonifractor plautii) with potential significance for the diagnosis and treatment of UC, which were inhibited in healthy individuals, but unrestricted in the UC patients. In addition, we also discovered in this study: (i) The positive-to-negative links (P/N) ratio, which measures the balance of species interactions or inhibition effects in microbiome networks, was significantly higher in UC patients, indicating loss of inhibition against potentially opportunistic "pathogens" associated with dysbiosis. (ii) Previous studies have reported conflicting evidence regarding species diversity and composition between UC patients and healthy controls. Here, significant differences were found at the major phylum and core/periphery scales, but not at the whole community level. Thus, we argue that the paradoxical results found in existing studies are due to the scale effect. Our results reveal changes in the ecology and network structure of the gut mucosal microbiome that might be associated with UC, and these changes might provide potential therapeutic mechanisms of UC. The four opportunistic pathogens that were identified in the present study deserve further investigation in future studies.

Sections du résumé

BACKGROUND
Ulcerative colitis (UC) is one of the primary types of inflammatory bowel disease (IBD), the occurrence of which has been increasing worldwide. Although IBD is an intensively studied human microbiome-associated disease, research on Chinese populations remains relatively limited, particularly on the mucosal microbiome. The present study aimed to analyze the changes in the mucosal microbiome associated with UC from the perspectives of medical ecology and complex network analysis.
RESULTS
In total, 56 mucosal microbiome samples were collected from 28 Chinese UC patients and their healthy family partners, followed by amplicon sequencing. Based on sequencing data, we analyzed species diversity, shared species, and inter-species interactions at the whole community, main phyla, and core/periphery species levels. We identified four opportunistic "pathogens" (i.e., Clostridium tertium, Odoribacter splanchnicus, Ruminococcus gnavus, and Flavonifractor plautii) with potential significance for the diagnosis and treatment of UC, which were inhibited in healthy individuals, but unrestricted in the UC patients. In addition, we also discovered in this study: (i) The positive-to-negative links (P/N) ratio, which measures the balance of species interactions or inhibition effects in microbiome networks, was significantly higher in UC patients, indicating loss of inhibition against potentially opportunistic "pathogens" associated with dysbiosis. (ii) Previous studies have reported conflicting evidence regarding species diversity and composition between UC patients and healthy controls. Here, significant differences were found at the major phylum and core/periphery scales, but not at the whole community level. Thus, we argue that the paradoxical results found in existing studies are due to the scale effect.
CONCLUSIONS
Our results reveal changes in the ecology and network structure of the gut mucosal microbiome that might be associated with UC, and these changes might provide potential therapeutic mechanisms of UC. The four opportunistic pathogens that were identified in the present study deserve further investigation in future studies.

Identifiants

pubmed: 33947329
doi: 10.1186/s12866-021-02201-6
pii: 10.1186/s12866-021-02201-6
pmc: PMC8097971
doi:

Substances chimiques

DNA, Bacterial 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

138

Références

Microb Ecol. 2018 May;75(4):1063-1073
pubmed: 29018902
Am J Gastroenterol. 2012 Dec;107(12):1913-22
pubmed: 23044767
Inflamm Bowel Dis. 2016 Apr;22(4):817-25
pubmed: 26937623
Clin J Gastroenterol. 2018 Feb;11(1):1-10
pubmed: 29285689
Nat Rev Gastroenterol Hepatol. 2017 Oct;14(10):573-584
pubmed: 28743984
Inflamm Bowel Dis. 2013 Sep;19(10):2155-65
pubmed: 23899544
J Am Col Certif Wound Spec. 2011 Sep 17;3(2):42-4
pubmed: 24527168
Inflamm Bowel Dis. 2017 Jan;23(1):116-125
pubmed: 27893543
Dig Dis. 2014;32 Suppl 1:10-7
pubmed: 25531348
Genome Med. 2017 Nov 28;9(1):103
pubmed: 29183332
Stand Genomic Sci. 2011 Apr 29;4(2):200-9
pubmed: 21677857
Zool Res. 2019 Nov 18;40(6):587-594
pubmed: 31592582
Ecology. 2012 Sep;93(9):2037-51
pubmed: 23094376
Emerg Infect Dis. 2003 Oct;9(10):1347-8
pubmed: 14626222
Digestion. 2016;93(1):59-65
pubmed: 26789999
Transl Res. 2017 Jan;179:38-48
pubmed: 27371886
Proc Natl Acad Sci U S A. 2019 Jun 25;116(26):12672-12677
pubmed: 31182571
Nat Methods. 2013 Oct;10(10):996-8
pubmed: 23955772
Microbiome. 2019 Jan 3;7(1):1
pubmed: 30606251
Microbiome. 2019 Feb 11;7(1):18
pubmed: 30744677
J Gastroenterol. 2015 May;50(5):495-507
pubmed: 25808229
Nature. 2019 May;569(7758):655-662
pubmed: 31142855
J Investig Med High Impact Case Rep. 2017 Sep 14;5(3):2324709617731457
pubmed: 28944228
Genome Med. 2014 Dec 02;6(12):107
pubmed: 25587358
J Med Microbiol. 2006 Aug;55(Pt 8):1141-1149
pubmed: 16849736
Nat Microbiol. 2019 Feb;4(2):293-305
pubmed: 30531976
Gut. 1996 Mar;38(3):365-75
pubmed: 8675088
Dig Dis Sci. 2012 Nov;57(11):2955-64
pubmed: 22623042
Microbiome. 2019 May 15;7(1):75
pubmed: 31092280
Gut Microbes. 2017 May 4;8(3):238-252
pubmed: 28609251
Genome Res. 2003 Nov;13(11):2498-504
pubmed: 14597658
J Gastroenterol. 2018 Jan;53(1):95-106
pubmed: 28852861
Gut Microbes. 2016 Sep 2;7(5):384-96
pubmed: 27217061
Dig Dis Sci. 2015 Feb;60(2):290-8
pubmed: 25204669
Gastroenterology. 2019 Jun;156(8):2174-2189
pubmed: 30880022
Nat Microbiol. 2017 Feb 13;2:17004
pubmed: 28191884
ISME J. 2019 Aug;13(8):1911-1919
pubmed: 30894688
Gastroenterol Res Pract. 2015;2015:517597
pubmed: 26146498
Gastroenterology. 2014 May;146(6):1489-99
pubmed: 24560869
Inflamm Bowel Dis. 2014 Jun;20(6):978-86
pubmed: 24788220
Int J Infect Dis. 2013 Nov;17(11):e1062-3
pubmed: 23823278
J Travel Med. 2015 Jul-Aug;22(4):242-50
pubmed: 26058758
Gastroenterology. 2010 Dec;139(6):1844-1854.e1
pubmed: 20816835
Int J Infect Dis. 2010 Sep;14 Suppl 3:e335-7
pubmed: 20598605
Gastroenterology. 2017 Feb;152(2):327-339.e4
pubmed: 27769810
Nat Rev Microbiol. 2012 May 14;10(7):497-506
pubmed: 22580365
Cureus. 2019 Apr 11;11(4):e4432
pubmed: 31245219
Int J Infect Dis. 2016 Oct;51:44-46
pubmed: 27575937
Genome Biol Evol. 2017 Oct 1;9(10):2707-2714
pubmed: 29044436
J Clin Invest. 2011 May;121(5):1946-55
pubmed: 21490392
Adv Sci (Weinh). 2019 Oct 23;6(23):1902054
pubmed: 31832327
Inflamm Bowel Dis. 2018 Nov 29;24(12):2590-2598
pubmed: 30124831
BMC Bioinformatics. 2003 Jan 13;4:2
pubmed: 12525261
Ecology. 2007 Oct;88(10):2427-39
pubmed: 18027744
Genome Biol. 2012 Apr 16;13(9):R79
pubmed: 23013615
Gastroenterology. 2015 May;148(6):1087-106
pubmed: 25597840
Q Rev Biol. 2010 Jun;85(2):183-206
pubmed: 20565040
Nature. 2011 Jun 15;474(7351):307-17
pubmed: 21677747

Auteurs

Wendy Li (W)

Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Kunming College of Life Sciences, University of Chinese Academy of Sciences, Kunming, China.

Yang Sun (Y)

Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Yunnan Institute of Digestive Disease, Kunming, Yunnan, China.

Lin Dai (L)

Faculty of Science, Kunming University of Science and Technology, Kunming, China.

Hongju Chen (H)

Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Kunming College of Life Sciences, University of Chinese Academy of Sciences, Kunming, China.
College of Mathematics, Honghe University, Mengzi, Yunnan Province, China.

Bin Yi (B)

College of Mathematics, Honghe University, Mengzi, Yunnan Province, China.

Junkun Niu (J)

Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Yunnan Institute of Digestive Disease, Kunming, Yunnan, China.

Lan Wang (L)

Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Yunnan Institute of Digestive Disease, Kunming, Yunnan, China.

Fengrui Zhang (F)

Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Yunnan Institute of Digestive Disease, Kunming, Yunnan, China.

Juan Luo (J)

Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Yunnan Institute of Digestive Disease, Kunming, Yunnan, China.

Kunhua Wang (K)

Department of General Surgery, The First Affiliated Hospital of Kunming Medical University, Yunnan Institute of Digestive Disease, Kunming, Yunnan, China.

Rui Guo (R)

Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Yunnan Institute of Digestive Disease, Kunming, Yunnan, China.

Lianwei Li (L)

Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Kunming College of Life Sciences, University of Chinese Academy of Sciences, Kunming, China.

Quan Zou (Q)

Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.

Zhanshan Sam Ma (ZS)

Computational Biology and Medical Ecology Lab, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China. ma@vandals.uidaho.edu.
Kunming College of Life Sciences, University of Chinese Academy of Sciences, Kunming, China. ma@vandals.uidaho.edu.
Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China. ma@vandals.uidaho.edu.

Yinglei Miao (Y)

Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Yunnan Institute of Digestive Disease, Kunming, Yunnan, China. miaoyinglei@yeah.net.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH