Cross-Regional View of Functional and Taxonomic Microbiota Composition in Obesity and Post-obesity Treatment Shows Country Specific Microbial Contribution

Gut microbiota has been shown to have an important influence on host health. The microbial composition of the human gut microbiota is modulated by diet and other lifestyle habits and it has been reported that microbial diversity is altered in obese people. Obesity is a worldwide health problem that...

Full description

Saved in:
Bibliographic Details
Published inFrontiers in microbiology Vol. 10; p. 2346
Main Authors Medina, Daniel A., Li, Tianlu, Thomson, Pamela, Artacho, Alejandro, Pérez-Brocal, Vicente, Moya, Andrés
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 17.10.2019
Subjects
Online AccessGet full text
ISSN1664-302X
1664-302X
DOI10.3389/fmicb.2019.02346

Cover

Loading…
Abstract Gut microbiota has been shown to have an important influence on host health. The microbial composition of the human gut microbiota is modulated by diet and other lifestyle habits and it has been reported that microbial diversity is altered in obese people. Obesity is a worldwide health problem that negatively impacts the quality of life. Currently, the widespread treatment for obesity is bariatric surgery. Interestingly, gut microbiota has been shown to be a relevant factor in effective weight loss after bariatric surgery. Since that the human gut microbiota of normal subjects differs between geographic regions, it is possible that rearrangements of the gut microbiota in dysbiosis context are also region-specific. To better understand how gut microbiota contribute to obesity, this study compared the composition of the human gut microbiota of obese and lean people from six different regions and showed that the microbiota compositions in the context of obesity were specific to each studied geographic location. Furthermore, we analyzed the functional patterns using shotgun DNA metagenomic sequencing and compared the results with other obesity-related metagenomic studies, we observed that microbial contribution to functional pathways were country-specific. Nevertheless, our study showed that although microbial composition of obese patients was country-specific, the overall metabolic functions appeared to be the same between countries, indicating that different microbiota components contribute to similar metabolic outcomes to yield functional redundancy. Furthermore, we studied the microbiota functional changes of obese patients after bariatric surgery, by shotgun metagenomics sequencing and observed that changes in functional pathways were specific to the type of obesity treatment. In all, our study provides new insights into the differences and similarities of obese gut microbiota in relation to geographic location and obesity treatments.Gut microbiota has been shown to have an important influence on host health. The microbial composition of the human gut microbiota is modulated by diet and other lifestyle habits and it has been reported that microbial diversity is altered in obese people. Obesity is a worldwide health problem that negatively impacts the quality of life. Currently, the widespread treatment for obesity is bariatric surgery. Interestingly, gut microbiota has been shown to be a relevant factor in effective weight loss after bariatric surgery. Since that the human gut microbiota of normal subjects differs between geographic regions, it is possible that rearrangements of the gut microbiota in dysbiosis context are also region-specific. To better understand how gut microbiota contribute to obesity, this study compared the composition of the human gut microbiota of obese and lean people from six different regions and showed that the microbiota compositions in the context of obesity were specific to each studied geographic location. Furthermore, we analyzed the functional patterns using shotgun DNA metagenomic sequencing and compared the results with other obesity-related metagenomic studies, we observed that microbial contribution to functional pathways were country-specific. Nevertheless, our study showed that although microbial composition of obese patients was country-specific, the overall metabolic functions appeared to be the same between countries, indicating that different microbiota components contribute to similar metabolic outcomes to yield functional redundancy. Furthermore, we studied the microbiota functional changes of obese patients after bariatric surgery, by shotgun metagenomics sequencing and observed that changes in functional pathways were specific to the type of obesity treatment. In all, our study provides new insights into the differences and similarities of obese gut microbiota in relation to geographic location and obesity treatments.
AbstractList Gut microbiota has been shown to have an important influence on host health. The microbial composition of the human gut microbiota is modulated by diet and other lifestyle habits and it has been reported that microbial diversity is altered in obese people. Obesity is a worldwide health problem that negatively impacts the quality of life. Currently, the widespread treatment for obesity is bariatric surgery. Interestingly, gut microbiota has been shown to be a relevant factor in effective weight loss after bariatric surgery. Since that the human gut microbiota of normal subjects differs between geographic regions, it is possible that rearrangements of the gut microbiota in dysbiosis context are also region-specific. To better understand how gut microbiota contribute to obesity, this study compared the composition of the human gut microbiota of obese and lean people from six different regions and showed that the microbiota compositions in the context of obesity were specific to each studied geographic location. Furthermore, we analyzed the functional patterns using shotgun DNA metagenomic sequencing and compared the results with other obesity-related metagenomic studies, we observed that microbial contribution to functional pathways were country-specific. Nevertheless, our study showed that although microbial composition of obese patients was country-specific, the overall metabolic functions appeared to be the same between countries, indicating that different microbiota components contribute to similar metabolic outcomes to yield functional redundancy. Furthermore, we studied the microbiota functional changes of obese patients after bariatric surgery, by shotgun metagenomics sequencing and observed that changes in functional pathways were specific to the type of obesity treatment. In all, our study provides new insights into the differences and similarities of obese gut microbiota in relation to geographic location and obesity treatments.
Gut microbiota has been shown to have an important influence on host health. The microbial composition of the human gut microbiota is modulated by diet and other lifestyle habits and it has been reported that microbial diversity is altered in obese people. Obesity is a worldwide health problem that negatively impacts the quality of life. Currently, the widespread treatment for obesity is bariatric surgery. Interestingly, gut microbiota has been shown to be a relevant factor in effective weight loss after bariatric surgery. Since that the human gut microbiota of normal subjects differs between geographic regions, it is possible that rearrangements of the gut microbiota in dysbiosis context are also region-specific. To better understand how gut microbiota contribute to obesity, this study compared the composition of the human gut microbiota of obese and lean people from six different regions and showed that the microbiota compositions in the context of obesity were specific to each studied geographic location. Furthermore, we analyzed the functional patterns using shotgun DNA metagenomic sequencing and compared the results with other obesity-related metagenomic studies, we observed that microbial contribution to functional pathways were country-specific. Nevertheless, our study showed that although microbial composition of obese patients was country-specific, the overall metabolic functions appeared to be the same between countries, indicating that different microbiota components contribute to similar metabolic outcomes to yield functional redundancy. Furthermore, we studied the microbiota functional changes of obese patients after bariatric surgery, by shotgun metagenomics sequencing and observed that changes in functional pathways were specific to the type of obesity treatment. In all, our study provides new insights into the differences and similarities of obese gut microbiota in relation to geographic location and obesity treatments.Gut microbiota has been shown to have an important influence on host health. The microbial composition of the human gut microbiota is modulated by diet and other lifestyle habits and it has been reported that microbial diversity is altered in obese people. Obesity is a worldwide health problem that negatively impacts the quality of life. Currently, the widespread treatment for obesity is bariatric surgery. Interestingly, gut microbiota has been shown to be a relevant factor in effective weight loss after bariatric surgery. Since that the human gut microbiota of normal subjects differs between geographic regions, it is possible that rearrangements of the gut microbiota in dysbiosis context are also region-specific. To better understand how gut microbiota contribute to obesity, this study compared the composition of the human gut microbiota of obese and lean people from six different regions and showed that the microbiota compositions in the context of obesity were specific to each studied geographic location. Furthermore, we analyzed the functional patterns using shotgun DNA metagenomic sequencing and compared the results with other obesity-related metagenomic studies, we observed that microbial contribution to functional pathways were country-specific. Nevertheless, our study showed that although microbial composition of obese patients was country-specific, the overall metabolic functions appeared to be the same between countries, indicating that different microbiota components contribute to similar metabolic outcomes to yield functional redundancy. Furthermore, we studied the microbiota functional changes of obese patients after bariatric surgery, by shotgun metagenomics sequencing and observed that changes in functional pathways were specific to the type of obesity treatment. In all, our study provides new insights into the differences and similarities of obese gut microbiota in relation to geographic location and obesity treatments.
Author Pérez-Brocal, Vicente
Thomson, Pamela
Li, Tianlu
Artacho, Alejandro
Moya, Andrés
Medina, Daniel A.
AuthorAffiliation 3 Epigenetics and Immune Disease Group, Josep Carreras Leukaemia Research Institute (IJC) , Barcelona , Spain
5 Genomics and Health Area, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO)-Salud Pública , Valencia , Spain
7 Biomedical Research Centre Network for Epidemiology and Public Health (CIBEResp) , Madrid , Spain
6 Integrative Systems Biology Institute, University of Valencia, CSIC , Valencia , Spain
2 Chromatin and Disease Group, Cancer Epigenetics and Biology Programme (PEBC), Bellvitge Biomedical Research Institute (IDIBELL) , Barcelona , Spain
4 Departamento de Ingeniería Química y Bioprocesos, Escuela de Ingeniería, Pontificia Universidad Católica de Chile , Santiago , Chile
1 Laboratorio de Biotecnología Aplicada, Facultad de Medicina Veterinaria, Universidad San Sebastián , Puerto Montt , Chile
AuthorAffiliation_xml – name: 3 Epigenetics and Immune Disease Group, Josep Carreras Leukaemia Research Institute (IJC) , Barcelona , Spain
– name: 5 Genomics and Health Area, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO)-Salud Pública , Valencia , Spain
– name: 4 Departamento de Ingeniería Química y Bioprocesos, Escuela de Ingeniería, Pontificia Universidad Católica de Chile , Santiago , Chile
– name: 6 Integrative Systems Biology Institute, University of Valencia, CSIC , Valencia , Spain
– name: 1 Laboratorio de Biotecnología Aplicada, Facultad de Medicina Veterinaria, Universidad San Sebastián , Puerto Montt , Chile
– name: 7 Biomedical Research Centre Network for Epidemiology and Public Health (CIBEResp) , Madrid , Spain
– name: 2 Chromatin and Disease Group, Cancer Epigenetics and Biology Programme (PEBC), Bellvitge Biomedical Research Institute (IDIBELL) , Barcelona , Spain
Author_xml – sequence: 1
  givenname: Daniel A.
  surname: Medina
  fullname: Medina, Daniel A.
– sequence: 2
  givenname: Tianlu
  surname: Li
  fullname: Li, Tianlu
– sequence: 3
  givenname: Pamela
  surname: Thomson
  fullname: Thomson, Pamela
– sequence: 4
  givenname: Alejandro
  surname: Artacho
  fullname: Artacho, Alejandro
– sequence: 5
  givenname: Vicente
  surname: Pérez-Brocal
  fullname: Pérez-Brocal, Vicente
– sequence: 6
  givenname: Andrés
  surname: Moya
  fullname: Moya, Andrés
BookMark eNp1kktv1DAQgC1URB_0zjFHLtnasZPYFyS0olCpqIguiJs1ceytq8RebKdl_wq_Fmd3ERQJH_yYxzfjmTlFR847jdArgheUcnFhRqu6RYWJWOCKsuYZOiFNw0qKq29Hf92P0XmM9zgvhqu8v0DHlDScVIScoJ_L4GMsP-u19Q6G4qvVj4U3xeXkVNqLwPXFCn5453PA4qNVwXfWJyiWftz4aGezwrriptP5sd3Zf_Ixlf4gWAUNadQuFbd3_jFmv8mlsC1uN1pZ84eZYy191thumpkv0XMDQ9Tnh_MMfbl8t1p-KK9v3l8t316XilGRSlG10NO6bSkmlepwDQKgpoICN0wxXDfAqMGd0NpAtuRG8JpTKgzvMFUtPUNXe27v4V5ugh0hbKUHK3cCH9YSQrJq0FKLhirogea6Ms5BKGgbisFwVpuuZpn1Zs_aTN2oe5U_HWB4An2qcfZOrv2DnPvRtCIDXh8AwX-fdExytFHpYQCn_RRlRQkRVU3xnHezN1VzC4M2UtkEc-Uy2Q6SYDnPidzNiZznRO7mJDvifxx_5_dfl189uMX9
CitedBy_id crossref_primary_10_1007_s13205_023_03671_3
crossref_primary_10_3390_metabo11080493
crossref_primary_10_1016_j_chemosphere_2022_136806
crossref_primary_10_1186_s12866_021_02321_z
crossref_primary_10_1007_s00281_020_00814_z
crossref_primary_10_1038_s41598_020_76991_6
crossref_primary_10_3390_app112110039
crossref_primary_10_1016_j_soard_2020_03_014
crossref_primary_10_1186_s13099_020_00371_8
crossref_primary_10_1093_femsec_fiaa173
crossref_primary_10_3390_microorganisms10112190
crossref_primary_10_1038_s41569_022_00771_0
crossref_primary_10_1016_j_sjbs_2020_03_015
crossref_primary_10_3389_fphar_2020_00278
crossref_primary_10_1371_journal_pone_0318699
crossref_primary_10_1016_j_envpol_2020_115795
Cites_doi 10.1038/ijo.2012.33
10.5281/zenodo.16303
10.1155/2016/7353642
10.7717/peerj.2584
10.1038/nature11053
10.2337/db10-0253
10.1093/femsre/fuw046
10.1128/mBio.01018-16.Editor
10.1186/1755-8794-4-84
10.1038/tpj.2012.43
10.1016/j.cell.2014.09.053
10.1096/fj.201800370R
10.3389/fmicb.2017.01162
10.3978/j.issn.2218-676X.2014.06.05
10.1038/nmeth.1923
10.1099/ijs.0.02873-0
10.1186/s13073-018-0515-8
10.1073/pnas.0812600106
10.2217/fmb.11.142
10.1038/nature12506
10.1007/s11695-017-2666-x
10.1007/s11695-016-2201-5
10.1016/j.cmet.2015.07.009
10.1007/s11695-016-2399-2
10.4172/2155-9600.1000364
10.1093/dnares/dsw002
10.1093/bioinformatics/bty117
10.1007/s11695-016-2297-7
10.1073/pnas.1219451110
10.1186/s13073-016-0312-1
10.1038/ijo.2011.142
10.1126/science.1208344
10.1016/j.tim.2016.02.002
10.1186/1478-7954-10-22
10.1371/journal.pone.0149564
10.1038/ijo.2008.244
10.1038/nrg.2017.63
10.1093/bioinformatics/btu170
10.1186/gb-2011-12-6-r60
10.1038/nature05414
10.1038/nmeth.f.303
10.3402/mehd.v26.26191
10.1038/nbt.2676
10.1038/s41366-018-0201-3
10.1186/s12876-015-0330-2
10.1038/nature07540
10.1038/nature11552
10.3945/ajcn.113.058743
10.1074/mcp.ra119.001623
10.1038/nmeth.3589
10.1038/nature4441021a
10.1093/bioinformatics/btx754
10.1128/mSystems.00127-16
10.1038/nature11450
10.1136/gut.2010.234708
10.1017/S0007114519001570
10.1093/bioinformatics/btt593
10.1126/science.aad3369
10.1007/s11695-007-9151-x
10.1371/journal.pone.0154090
10.1186/cc1820
10.3389/fmicb.2017.01221
10.1038/ijo.2011.153
10.1155/2015/806248
10.1371/journal.pcbi.1002358
10.1136/gutjnl-2014-308778
10.1038/srep16643
10.1038/ismej.2017.71
10.1128/AEM.03006-5
10.1038/s41598-018-22408-4
10.1016/j.amjmed.2008.05.036
10.1038/nutd.2015.3
10.1016/B978-0-12-407863-5.00019-8
10.1038/nature11550
10.1038/nature25973
10.1016/j.febslet.2014.09.039
10.1038/nature11234
10.7717/peerj.3443
10.3389/fmicb.2019.01137
10.1128/mBio.01018-6
10.1038/ismej.2011.139
10.1038/nature08821
10.2105/AJPH.2004.060129
10.2337/db13-0844
ContentType Journal Article
Copyright Copyright © 2019 Medina, Li, Thomson, Artacho, Pérez-Brocal and Moya.
Copyright © 2019 Medina, Li, Thomson, Artacho, Pérez-Brocal and Moya. 2019 Medina, Li, Thomson, Artacho, Pérez-Brocal and Moya
Copyright_xml – notice: Copyright © 2019 Medina, Li, Thomson, Artacho, Pérez-Brocal and Moya.
– notice: Copyright © 2019 Medina, Li, Thomson, Artacho, Pérez-Brocal and Moya. 2019 Medina, Li, Thomson, Artacho, Pérez-Brocal and Moya
DBID AAYXX
CITATION
7X8
5PM
DOA
DOI 10.3389/fmicb.2019.02346
DatabaseName CrossRef
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
MEDLINE - Academic
DatabaseTitleList

MEDLINE - Academic
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
DeliveryMethod fulltext_linktorsrc
Discipline Biology
EISSN 1664-302X
ExternalDocumentID oai_doaj_org_article_e963cada3302488a9ca7630af845fb54
PMC6812679
10_3389_fmicb_2019_02346
GroupedDBID 53G
5VS
9T4
AAFWJ
AAKDD
AAYXX
ACGFO
ACGFS
ACXDI
ADBBV
ADRAZ
AENEX
AFPKN
ALMA_UNASSIGNED_HOLDINGS
AOIJS
BAWUL
BCNDV
CITATION
DIK
ECGQY
GROUPED_DOAJ
GX1
HYE
KQ8
M48
M~E
O5R
O5S
OK1
PGMZT
RNS
RPM
7X8
5PM
ID FETCH-LOGICAL-c439t-927ad35773012cb05a9aa5393a8f4c4056a43f0b9eefaad38f9858339f8b03c73
IEDL.DBID DOA
ISSN 1664-302X
IngestDate Wed Aug 27 01:22:10 EDT 2025
Thu Aug 21 13:50:12 EDT 2025
Fri Jul 11 06:10:40 EDT 2025
Tue Jul 01 01:52:49 EDT 2025
Thu Apr 24 23:09:08 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Language English
License This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c439t-927ad35773012cb05a9aa5393a8f4c4056a43f0b9eefaad38f9858339f8b03c73
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Reviewed by: Alexander V. Tyakht, Institute of Gene Biology (RAS), Russia; Sofia Forslund, Max Delbrück Center for Molecular Medicine, Germany
Edited by: Qi Zhao, Shenyang Aerospace University, China
This article was submitted to Systems Microbiology, a section of the journal Frontiers in Microbiology
OpenAccessLink https://doaj.org/article/e963cada3302488a9ca7630af845fb54
PMID 31681211
PQID 2311925307
PQPubID 23479
ParticipantIDs doaj_primary_oai_doaj_org_article_e963cada3302488a9ca7630af845fb54
pubmedcentral_primary_oai_pubmedcentral_nih_gov_6812679
proquest_miscellaneous_2311925307
crossref_citationtrail_10_3389_fmicb_2019_02346
crossref_primary_10_3389_fmicb_2019_02346
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2019-10-17
PublicationDateYYYYMMDD 2019-10-17
PublicationDate_xml – month: 10
  year: 2019
  text: 2019-10-17
  day: 17
PublicationDecade 2010
PublicationTitle Frontiers in microbiology
PublicationYear 2019
Publisher Frontiers Media S.A
Publisher_xml – name: Frontiers Media S.A
References McDonald (B44) 2012; 6
(B4) 2018
Abubucker (B1) 2012; 8
Tremaroli (B78) 2012; 489
Truong (B80) 2015; 12
Schwalb (B63) 2011
Graessler (B23) 2013; 13
Khan (B34) 2016; 2016
Shin (B68) 2019; 10
Langille (B37) 2013; 31
Schloss (B61) 2016
First (B19) 2011; 3
Thomson (B74) 2019; 1
Nishijima (B52) 2016; 23
Lozupone (B43) 2012; 489
Guo (B25) 2014; 3
Navas-Molina (B50) 2013; 531
Rojo (B59) 2017; 41
Haro (B28) 2016; 2
DeSantis (B14) 2006; 72
Furet (B21) 2010; 59
McIver (B45) 2018; 34
Tremaroli (B79) 2015; 22
Gupta (B26) 2017; 8
Hall (B27) 2017; 18
Shao (B66) 2016; 27
Gumbs (B24) 2007; 17
Zhernakova (B90) 2016; 352
Oksanen (B53) 2018
(B51) 1998; 6
Tran (B76) 2016; 26
Kolde (B35) 2018; 10
Dao (B12) 2016; 65
Karlsson (B32) 2013; 62
Stevens (B71) 2012; 10
Zhang (B88) 2009; 106
Medina (B46) 2017; 5
Li (B41) 2011; 60
Derrien (B13) 2004; 54
Turnbaugh (B81) 2009; 457
Angelakis (B2) 2012; 7
Qin (B56) 2012; 490
Qin (B55) 2010; 464
Schneeberger (B62) 2015; 5
(B57) 2013
Rothschild (B60) 2018; 555
Wu (B85) 2011; 334
Turnbaugh (B82) 2006; 444
Fei (B18) 2018; 34
Huttenhower (B29) 2012; 486
Goodrich (B22) 2014; 159
Million (B47) 2012; 36
Sjöström (B69) 2008; 32
Moya (B48) 2016; 24
Carding (B8) 2015; 26
Fujio-Vejar (B20) 2017; 8
Bolger (B5) 2014; 30
Caporaso (B7) 2010; 7
Yasir (B86) 2015; 27
Zhang (B89) 2014; 30
Kong (B36) 2013; 98
Ley (B40) 2006; 444
Le Chatelier (B39) 2013; 500
Bolstad (B6) 2019
Sze (B73) 2016; 23
Tice (B75) 2008; 121
Walters (B83) 2014; 588
Fava (B17) 2013; 37
Jones (B31) 2018; 8
Smoot (B70) 2006; 96
Damms-Machado (B11) 2015; 2015
Angrisani (B3) 2017; 27
Seck (B64) 2018; 43
Whitley (B84) 2002; 6
Palleja (B54) 2016; 8
Segata (B65) 2011; 12
Langmead (B38) 2012; 9
Eldar (B15) 2011; 35
Kasai (B33) 2015; 15
Ilhan (B30) 2017; 11
Louis (B42) 2016; 11
Comeau (B10) 2017; 3
Everard (B16) 2013; 110
Yatsunenko (B87) 2012; 486
Sun (B72) 2011; 16
Rognes (B58) 2016; 4
Chilton (B9) 2014; 5
Tran (B77) 2019; 18
Murphy (B49) 2017; 27
Sheng (B67) 2018
References_xml – volume: 37
  start-page: 216
  year: 2013
  ident: B17
  article-title: The type and quantity of dietary fat and carbohydrate alter faecal microbiome and short-chain fatty acid excretion in a metabolic syndrome “at-risk” population.
  publication-title: Int. J. Obes.
  doi: 10.1038/ijo.2012.33
– volume: 3
  start-page: 42
  year: 2011
  ident: B19
  article-title: GNU parallel: the command-line power tool.
  publication-title: USENIX Mag.
  doi: 10.5281/zenodo.16303
– volume: 2016
  start-page: 1
  year: 2016
  ident: B34
  article-title: Role of gut microbiota in the aetiology of obesity: proposed mechanisms and review of the literature.
  publication-title: J. Obes.
  doi: 10.1155/2016/7353642
– volume: 4
  year: 2016
  ident: B58
  article-title: VSEARCH: a versatile open source tool for metagenomics.
  publication-title: PeerJ
  doi: 10.7717/peerj.2584
– volume: 486
  start-page: 222
  year: 2012
  ident: B87
  article-title: Human gut microbiome viewed across age and geography.
  publication-title: Nature
  doi: 10.1038/nature11053
– volume: 59
  start-page: 3049
  year: 2010
  ident: B21
  article-title: Differential adaptation of human gut microbiota to bariatric surgery-induced weight loss.
  publication-title: Diabetes Metab. Res. Rev.
  doi: 10.2337/db10-0253
– volume: 41
  start-page: 453
  year: 2017
  ident: B59
  article-title: Exploring the human microbiome from multiple perspectives: factors altering its composition and function.
  publication-title: FEMS Microbiol. Rev.
  doi: 10.1093/femsre/fuw046
– start-page: 1
  year: 2016
  ident: B61
  article-title: Looking for a signal in the noise: revisiting obesity and the.
  doi: 10.1128/mBio.01018-16.Editor
– volume: 16
  year: 2011
  ident: B72
  article-title: Batch effect correction for genome-wide methylation data with illumina infinium platform.
  publication-title: BMC Med Genom.
  doi: 10.1186/1755-8794-4-84
– volume: 13
  start-page: 514
  year: 2013
  ident: B23
  article-title: Metagenomic sequencing of the human gut microbiome before and after bariatric surgery in obese patients with type 2 diabetes: correlation with inflammatory and metabolic parameters.
  publication-title: Pharmacogenomics J.
  doi: 10.1038/tpj.2012.43
– volume: 159
  start-page: 789
  year: 2014
  ident: B22
  article-title: Human genetics shape the gut microbiome.
  publication-title: Cell
  doi: 10.1016/j.cell.2014.09.053
– year: 2018
  ident: B67
  article-title: Obesity treatment by epigallocatechin-3-gallate–regulated bile acid signaling and its enriched Akkermansia muciniphila.
  publication-title: FASEB J.
  doi: 10.1096/fj.201800370R
– volume: 8
  year: 2017
  ident: B26
  article-title: Geography, ethnicity or subsistence-specific variations in human microbiome composition and diversity.
  publication-title: Front. Microbiol.
  doi: 10.3389/fmicb.2017.01162
– volume: 3
  start-page: 260
  year: 2014
  ident: B25
  article-title: Statistical strategies for microRNAseq batch effect reduction.
  publication-title: Transl. Cancer Res.
  doi: 10.3978/j.issn.2218-676X.2014.06.05
– volume: 9
  year: 2012
  ident: B38
  article-title: Fast gapped-read alignment with bowtie 2.
  publication-title: Nat. Methods
  doi: 10.1038/nmeth.1923
– volume: 54
  start-page: 1469
  year: 2004
  ident: B13
  article-title: Akkermansia municiphila gen. nov., sp. nov., a human intestinal mucin-degrading bacterium.
  publication-title: Int. J. Syst. Evol. Microbiol.
  doi: 10.1099/ijs.0.02873-0
– volume: 10
  year: 2018
  ident: B35
  article-title: Host genetic variation and its microbiome interactions within the human microbiome project.
  publication-title: Genome Med.
  doi: 10.1186/s13073-018-0515-8
– volume: 106
  start-page: 2365
  year: 2009
  ident: B88
  article-title: Human gut microbiota in obesity and after gastric bypass.
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
  doi: 10.1073/pnas.0812600106
– volume: 7
  start-page: 91
  year: 2012
  ident: B2
  article-title: The relationship between gut microbiota and weight gain in humans.
  publication-title: Future Microbiol.
  doi: 10.2217/fmb.11.142
– volume: 500
  start-page: 541
  year: 2013
  ident: B39
  article-title: Richness of human gut microbiome correlates with metabolic markers.
  publication-title: Nature
  doi: 10.1038/nature12506
– volume: 27
  start-page: 2279
  year: 2017
  ident: B3
  article-title: Bariatric surgery and endoluminal procedures: IFSO worldwide survey 2014.
  publication-title: Obes. Surg.
  doi: 10.1007/s11695-017-2666-x
– volume: 26
  start-page: 1627
  year: 2016
  ident: B76
  article-title: Revision of roux-en-y gastric bypass for weight regain: a systematic review of techniques and outcomes.
  publication-title: Obes. Surg.
  doi: 10.1007/s11695-016-2201-5
– year: 2018
  ident: B53
  publication-title: Vegan: Community Ecology Package.
– volume: 22
  start-page: 228
  year: 2015
  ident: B79
  article-title: Roux-en-Y gastric bypass and vertical banded gastroplasty induce long-term changes on the human gut microbiome contributing to fat mass regulation.
  publication-title: Cell Metab.
  doi: 10.1016/j.cmet.2015.07.009
– volume: 27
  start-page: 917
  year: 2017
  ident: B49
  article-title: Differential changes in gut microbiota after gastric bypass and sleeve gastrectomy bariatric surgery vary according to diabetes remission.
  publication-title: Obes. Surg.
  doi: 10.1007/s11695-016-2399-2
– volume: 5
  year: 2014
  ident: B9
  article-title: The effects of diet and the microbiome on reproduction and longevity: a comparative review across 5 continents.
  publication-title: J. Nutr. Food Sci.
  doi: 10.4172/2155-9600.1000364
– volume: 23
  start-page: 125
  year: 2016
  ident: B52
  article-title: The gut microbiome of healthy Japanese and its microbial and functional uniqueness.
  publication-title: DNA Res.
  doi: 10.1093/dnares/dsw002
– volume: 34
  start-page: 2634
  year: 2018
  ident: B18
  article-title: Mitigating the adverse impact of batch effects in sample pattern detection.
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/bty117
– volume: 27
  start-page: 295
  year: 2016
  ident: B66
  article-title: Alterations of gut microbiota after roux-en-Y gastric bypass and sleeve gastrectomy in sprague-dawley rats.
  publication-title: Obes. Surg.
  doi: 10.1007/s11695-016-2297-7
– volume: 110
  start-page: 9066
  year: 2013
  ident: B16
  article-title: Cross-talk between Akkermansia muciniphila and intestinal epithelium controls diet-induced obesity.
  publication-title: Proc. Natl. Acad. Sci. U.S.A.
  doi: 10.1073/pnas.1219451110
– volume: 8
  year: 2016
  ident: B54
  article-title: Roux-en-Y gastric bypass surgery of morbidly obese patients induces swift and persistent changes of the individual gut microbiota.
  publication-title: Genome Med.
  doi: 10.1186/s13073-016-0312-1
– volume: 35
  start-page: S16
  year: 2011
  ident: B15
  article-title: Bariatric surgery for treatment of obesity.
  publication-title: Int. J. Obes.
  doi: 10.1038/ijo.2011.142
– volume: 334
  start-page: 105
  year: 2011
  ident: B85
  article-title: Linking long-term dietary patterns with gut microbial enterotypes.
  publication-title: Science 7
  doi: 10.1126/science.1208344
– volume: 24
  start-page: 402
  year: 2016
  ident: B48
  article-title: Functional redundancy-induced stability of gut microbiota subjected to disturbance.
  publication-title: Trends Microbiol.
  doi: 10.1016/j.tim.2016.02.002
– volume: 10
  year: 2012
  ident: B71
  article-title: National, regional, and global trends in adult overweight and obesity prevalences.
  publication-title: Popul Health Metr.
  doi: 10.1186/1478-7954-10-22
– volume: 11
  start-page: 1
  year: 2016
  ident: B42
  article-title: Characterization of the gut microbial community of obese patients following a weight-loss intervention using whole metagenome shotgun sequencing.
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0149564
– volume: 32
  start-page: S93
  year: 2008
  ident: B69
  article-title: Bariatric surgery and reduction in morbidity and mortality: experiences from the SOS study.
  publication-title: Int. J. Obes.
  doi: 10.1038/ijo.2008.244
– volume: 18
  start-page: 690
  year: 2017
  ident: B27
  article-title: Human genetic variation and the gut microbiome in disease.
  publication-title: Nat. Rev. Genet.
  doi: 10.1038/nrg.2017.63
– volume: 30
  start-page: 2114
  year: 2014
  ident: B5
  article-title: Trimmomatic: a flexible trimmer for illumina sequence data.
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btu170
– volume: 12
  year: 2011
  ident: B65
  article-title: Metagenomic biomarker discovery and explanation.
  publication-title: Genome Biol.
  doi: 10.1186/gb-2011-12-6-r60
– volume: 444
  start-page: 1027
  year: 2006
  ident: B82
  article-title: An obesity-associated gut microbiome with increased capacity for energy harvest.
  publication-title: Nature
  doi: 10.1038/nature05414
– volume: 6
  start-page: 51S
  year: 1998
  ident: B51
  article-title: Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults - the evidence report.
  publication-title: Obes. Res.
– volume: 7
  start-page: 335
  year: 2010
  ident: B7
  article-title: QIIME allows analysis of high-throughput community sequencing data.
  publication-title: Nat. Publ. Gr.
  doi: 10.1038/nmeth.f.303
– volume: 26
  year: 2015
  ident: B8
  article-title: Dysbiosis of the gut microbiota in disease.
  publication-title: Microb. Ecol. Health Dis.
  doi: 10.3402/mehd.v26.26191
– volume: 31
  start-page: 814
  year: 2013
  ident: B37
  article-title: Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences.
  publication-title: Nat. Biotechnol.
  doi: 10.1038/nbt.2676
– year: 2019
  ident: B6
  publication-title: Preprocesscore: A Collection of Pre-Processing Functions.
– volume: 43
  start-page: 862
  year: 2018
  ident: B64
  article-title: Salt in stools is associated with obesity, gut halophilic microbiota and Akkermansia muciniphila depletion in humans.
  publication-title: Int. J. Obes.
  doi: 10.1038/s41366-018-0201-3
– volume: 15
  year: 2015
  ident: B33
  article-title: Comparison of the gut microbiota composition between obese and non-obese individuals in a Japanese population, as analyzed by terminal restriction fragment length polymorphism and next-generation sequencing.
  publication-title: BMC Gastroenterol.
  doi: 10.1186/s12876-015-0330-2
– year: 2011
  ident: B63
  publication-title: LSD: Lots of Superior Depictions.
– volume: 457
  start-page: 480
  year: 2009
  ident: B81
  article-title: A core gut microbiome in obese and lean twins.
  publication-title: Nature
  doi: 10.1038/nature07540
– volume: 489
  start-page: 242
  year: 2012
  ident: B78
  article-title: Functional interactions between the gut microbiota and host metabolism.
  publication-title: Nature
  doi: 10.1038/nature11552
– volume: 98
  start-page: 16
  year: 2013
  ident: B36
  article-title: Gut microbiota after gastric bypass in human obesity: increased richness and associations of bacterial genera with adipose tissue genes.
  publication-title: Am. Soc. Nutr.
  doi: 10.3945/ajcn.113.058743
– volume: 18
  start-page: 1864
  year: 2019
  ident: B77
  article-title: Associations of the fecal microbial proteome composition and proneness to diet-induced obesity.
  publication-title: Mol. Cell. Proteomics.
  doi: 10.1074/mcp.ra119.001623
– volume: 12
  start-page: 902
  year: 2015
  ident: B80
  article-title: MetaPhlAn2 for enhanced metagenomic taxonomic profiling.
  publication-title: Nat. Methods
  doi: 10.1038/nmeth.3589
– volume: 444
  start-page: 1022
  year: 2006
  ident: B40
  article-title: Microbial ecology: human gut microbes associated with obesity.
  publication-title: Nature
  doi: 10.1038/nature4441021a
– volume: 34
  start-page: 1235
  year: 2018
  ident: B45
  article-title: bioBakery: a meta’omic analysis environment.
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btx754
– year: 2018
  ident: B4
  article-title: American Society for Metabolic and Bariatric Surgery: Estimate of Bariatric Surgery Numbers, 2011–2016
– volume: 3
  year: 2017
  ident: B10
  article-title: Microbiome helper: a custom and streamlined workflow for microbiome.
  publication-title: mSystems
  doi: 10.1128/mSystems.00127-16
– volume: 490
  start-page: 55
  year: 2012
  ident: B56
  article-title: A metagenome-wide association study of gut microbiota in type 2 diabetes.
  publication-title: Nature
  doi: 10.1038/nature11450
– volume: 60
  start-page: 1214
  year: 2011
  ident: B41
  article-title: Metabolic surgery profoundly influences gut microbial-host metabolic cross-talk.
  publication-title: Gut
  doi: 10.1136/gut.2010.234708
– volume: 1
  start-page: 1
  year: 2019
  ident: B74
  article-title: Short-term impact of sucralose consumption on the metabolic response and gut microbiome of healthy adults.
  publication-title: Br. J. Nutr.
  doi: 10.1017/S0007114519001570
– volume: 30
  start-page: 614
  year: 2014
  ident: B89
  article-title: PEAR: a fast and accurate illumina paired-end reAd mergeR.
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btt593
– volume: 352
  start-page: 565
  year: 2016
  ident: B90
  article-title: Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity.
  publication-title: Science
  doi: 10.1126/science.aad3369
– volume: 17
  start-page: 962
  year: 2007
  ident: B24
  article-title: Sleeve gastrectomy for morbid obesity.
  publication-title: Obes. Surg.
  doi: 10.1007/s11695-007-9151-x
– volume: 2
  year: 2016
  ident: B28
  article-title: Intestinal microbiota is influenced by gender and body mass index.
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0154090
– volume: 6
  start-page: 509
  year: 2002
  ident: B84
  article-title: Statistics review 6: nonparametric methods.
  publication-title: Crit. Care
  doi: 10.1186/cc1820
– volume: 8
  year: 2017
  ident: B20
  article-title: The gut microbiota of healthy chilean subjects reveals a high abundance of the phylum verrucomicrobia.
  publication-title: Front. Microbiol.
  doi: 10.3389/fmicb.2017.01221
– volume: 36
  start-page: 817
  year: 2012
  ident: B47
  article-title: Obesity-associated gut microbiota is enriched in Lactobacillus reuteri and depleted in Bifidobacterium animalis and Methanobrevibacter smithii.
  publication-title: Int. J. Obes.
  doi: 10.1038/ijo.2011.153
– volume: 2015
  year: 2015
  ident: B11
  article-title: Effects of surgical and dietary weight loss therapy for obesity on gut microbiota composition and nutrient absorption.
  publication-title: Biomed Res. Int.
  doi: 10.1155/2015/806248
– volume: 8
  year: 2012
  ident: B1
  article-title: Metabolic reconstruction for metagenomic data and its application to the human microbiome.
  publication-title: PLoS Comput. Biol.
  doi: 10.1371/journal.pcbi.1002358
– volume: 65
  start-page: 426
  year: 2016
  ident: B12
  article-title: Akkermansia muciniphila and improved metabolic health during a dietary intervention in obesity: relationship with gut microbiome richness and ecology.
  publication-title: Gut
  doi: 10.1136/gutjnl-2014-308778
– volume: 5
  year: 2015
  ident: B62
  article-title: Akkermansia muciniphila inversely correlates with the onset of inflammation, altered adipose tissue metabolism and metabolic disorders during obesity in mice.
  publication-title: Sci. Rep.
  doi: 10.1038/srep16643
– volume: 11
  start-page: 2047
  year: 2017
  ident: B30
  article-title: Distinctive microbiomes and metabolites linked with weight loss after gastric bypass, but not gastric banding.
  publication-title: ISME J.
  doi: 10.1038/ismej.2017.71
– volume: 72
  start-page: 5069
  year: 2006
  ident: B14
  article-title: Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.
  publication-title: Appl. Environ. Microbiol.
  doi: 10.1128/AEM.03006-5
– volume: 8
  year: 2018
  ident: B31
  article-title: Inter-niche and inter-individual variation in gut microbial community assessment using stool, rectal swab, and mucosal samples.
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-018-22408-4
– volume: 121
  start-page: 885
  year: 2008
  ident: B75
  article-title: Gastric banding or bypass? a systematic review comparing the two most popular bariatric procedures.
  publication-title: Am. J. Med.
  doi: 10.1016/j.amjmed.2008.05.036
– volume: 27
  year: 2015
  ident: B86
  article-title: Comparison of the gut microbiota of people in france and saudi arabia.
  publication-title: Nutr Diabetes
  doi: 10.1038/nutd.2015.3
– volume: 531
  start-page: 371
  year: 2013
  ident: B50
  article-title: Advancing our understanding of the human microbiome using QIIME.
  publication-title: Methods Enzymol.
  doi: 10.1016/B978-0-12-407863-5.00019-8
– volume: 489
  start-page: 220
  year: 2012
  ident: B43
  article-title: Diversity, stability and resilience of the human gut microbiota.
  publication-title: Nature
  doi: 10.1038/nature11550
– volume: 555
  start-page: 210
  year: 2018
  ident: B60
  article-title: Environment dominates over host genetics in shaping human gut microbiota.
  publication-title: Nature
  doi: 10.1038/nature25973
– volume: 588
  start-page: 4223
  year: 2014
  ident: B83
  article-title: Meta-analyses of human gut microbes associated with obesity and IBD.
  publication-title: FEBS Lett.
  doi: 10.1016/j.febslet.2014.09.039
– volume: 486
  start-page: 207
  year: 2012
  ident: B29
  article-title: Structure, function and diversity of the healthy human microbiome.
  publication-title: Nature
  doi: 10.1038/nature11234
– volume: 5
  year: 2017
  ident: B46
  article-title: Distinct patterns in the gut microbiota after surgical or medical therapy in obese patients.
  publication-title: PeerJ
  doi: 10.7717/peerj.3443
– volume: 10
  year: 2019
  ident: B68
  article-title: Elucidation of akkermansia muciniphila probiotic traits driven by mucin depletion.
  publication-title: Front. Microbiol.
  doi: 10.3389/fmicb.2019.01137
– volume: 23
  year: 2016
  ident: B73
  article-title: Looking for a signal in the noise: revisiting obesity and the microbiome.
  publication-title: MBio
  doi: 10.1128/mBio.01018-6
– volume: 6
  start-page: 610
  year: 2012
  ident: B44
  article-title: An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea.
  publication-title: ISME J.
  doi: 10.1038/ismej.2011.139
– volume: 464
  start-page: 59
  year: 2010
  ident: B55
  article-title: A human gut microbial gene catalogue established by metagenomic sequencing.
  publication-title: Nature
  doi: 10.1038/nature08821
– volume: 96
  start-page: 1187
  year: 2006
  ident: B70
  article-title: Gastric bypass surgery in the united states, 1998-2002.
  publication-title: Am. J. Public Health
  doi: 10.2105/AJPH.2004.060129
– volume: 62
  start-page: 3341
  year: 2013
  ident: B32
  article-title: Assessing the human gut microbiota in metabolic diseases.
  publication-title: Diabetes Metab. Res. Rev.
  doi: 10.2337/db13-0844
– year: 2013
  ident: B57
  publication-title: R Core Team. R A Lang. Environ. Stat. Comput. R Found. Stat. Comput.
SSID ssj0000402000
Score 2.3271
Snippet Gut microbiota has been shown to have an important influence on host health. The microbial composition of the human gut microbiota is modulated by diet and...
SourceID doaj
pubmedcentral
proquest
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Enrichment Source
Index Database
StartPage 2346
SubjectTerms bariatric surgery
functional convergence
functional redundancy
human gut microbiota
metagenomic
Microbiology
obesity
SummonAdditionalLinks – databaseName: Scholars Portal Journals: Open Access
  dbid: M48
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELagCIkL4imWl4zEhUNKdm3H8QEhqFhVSMsBdlFvlp9tpCopu6na_Sv8WmYcb0ukihPXxI4dT2bmG8fzDSFvufelBzdVeBZDwYWwRV2lDXgrRJAVTB6zkRffqsMV_3okjq7To_MCbm4M7bCe1Gp9un_5a_sRFP4DRpzgb0ECjbN4Skvtgwfi1W1yB_ySRDVdZLCf7DKGSmU5_Ku8sePINyUK_xHuHJ-a_MsNzR-Q-xk_0k-DwB-SW6F9RO4OFSW3j8nvA3xy8T0cpy0--rMJF7SLdA7ua9j1o6b1dGkuh3xkumgGJqbeUDQN-QgXbVqaSwak9ljSt-jyheXubDr9cdJdbCimtffrLU2l7OP1M2Es5L7aVdR6QlbzL8uDwyKXXygcoJS-UDNpPBMSbcDM2VIYZYxgipk6cgdArzKcxdKqEKKBlnVUNeZwqVjbkjnJnpK9tmvDM0JnflY5JrwT0nFATMaFSio7rUrFvJHTCXm_W3jtMjc5lsg41RCjoKh0EpVGUekkqgl5d9XjbODl-EfbzyjLq3bIqJ0udOtjnRVUB7BEznjDGLK81UY5A6a3NLHmIlrBJ-TN7kvQoIH4W8W0oTvfaEDIAJMFGMsJkaNPZDTi-E7bnCQub6R_g6V4_j-m-ILcw5dGzzqVL8levz4PrwAy9fZ10oQ__dUa7A
  priority: 102
  providerName: Scholars Portal
Title Cross-Regional View of Functional and Taxonomic Microbiota Composition in Obesity and Post-obesity Treatment Shows Country Specific Microbial Contribution
URI https://www.proquest.com/docview/2311925307
https://pubmed.ncbi.nlm.nih.gov/PMC6812679
https://doaj.org/article/e963cada3302488a9ca7630af845fb54
Volume 10
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQJSQuiKdYXjISFw6h2TiO4yNULBXScoAt2ps1ftFIKKnaVKV_hV_LjJ0tmwtcuOTgOInjGXu-scffMPa69r70aKYKL2Ioailt0TZpAd5KGVSDjafTyOvPzfFJ_Wkrt3upvigmLNMD5447DKghDjyg312hsoF2gEOihNjWMlqZmEDR5u05U2kOJreoLPO-JHphGsXUOUuhXPotminCu3t2KNH1zzDmPEJyz-Ss7rG7E1bk73Ib77NboX_AbufskdcP2a8jenPxJXxPy3n8Wxeu-BD5Ck1VXuHj0Hu-gZ_57DFfd5l1aQRO08AUrsW7nk_pAVJ9St9bDFPBZheHzr-eDlcXnI6wj-fXPKWtj3_eid8inqtd9qxH7GT1YXN0XEypFgqHiGQsdKXAC6lovFfOlhI0gBRaQBtrh6CugVrE0uoQImDNNuqWzmvp2NpSOCUes4N-6MMTxitfNU5I76RyNaIjcKFR2i6bUgsParlgh7uON27iIad0GD8M-iMkKpNEZUhUJolqwd7cPHGWOTj-Uvc9yfKmHrFnpwLUKTPplPmXTi3Yq50mGBxttIUCfRguLwyiYYTEEifGBVMzFZl9cX6n704TbzdRvWFXPP0fTXzG7tBPkxVdqufsYDy_DC8QHo32ZRoJeP24XeJ1Xbe_AZkMFLI
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Cross-Regional+View+of+Functional+and+Taxonomic+Microbiota+Composition+in+Obesity+and+Post-obesity+Treatment+Shows+Country+Specific+Microbial+Contribution&rft.jtitle=Frontiers+in+microbiology&rft.au=Daniel+A.+Medina&rft.au=Tianlu+Li&rft.au=Tianlu+Li&rft.au=Pamela+Thomson&rft.date=2019-10-17&rft.pub=Frontiers+Media+S.A&rft.eissn=1664-302X&rft.volume=10&rft_id=info:doi/10.3389%2Ffmicb.2019.02346&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_e963cada3302488a9ca7630af845fb54
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1664-302X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1664-302X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1664-302X&client=summon