Comprehensive Analysis Reveals Novel Interactions between Circulating MicroRNAs and Gut Microbiota Composition in Human Obesity

Background: The determinants that mediate the interactions between microRNAs and the gut microbiome impacting on obesity are scarcely understood. Thus, the aim of this study was to investigate possible interactions between circulating microRNAs and gut microbiota composition in obesity. Method: The...

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Published inInternational journal of molecular sciences Vol. 21; no. 24; p. 9509
Main Authors Assmann, Taís Silveira, Cuevas-Sierra, Amanda, Riezu-Boj, José Ignacio, Milagro, Fermín I., Martínez, J. Alfredo
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 14.12.2020
MDPI
Subjects
Adipocytes
Bacteroides - physiology
Biomarkers - blood
Body Mass Index
Cell cycle
Circulating MicroRNA - blood
Epigenetics
Gastrointestinal Microbiome - physiology
Gender
Gene expression
Glucose
Gut microbiota
Homeostasis
Humans
Insulin
Metabolism
Microbiota
MicroRNAs
MicroRNAs - blood
Obesity
Obesity - blood
Polymerase Chain Reaction
Triglycerides
Bacteroides eggerthi
miRNA
gut microbiota
obesity
BMI
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Abstract Background: The determinants that mediate the interactions between microRNAs and the gut microbiome impacting on obesity are scarcely understood. Thus, the aim of this study was to investigate possible interactions between circulating microRNAs and gut microbiota composition in obesity. Method: The sample comprised 78 subjects with obesity (cases, body mass index (BMI): 30–40 kg/m2) and 25 eutrophic individuals (controls, BMI ≤ 25 kg/m2). The expression of 96 microRNAs was investigated in plasma of all individuals using miRCURY LNA miRNA Custom PCR Panels. Bacterial DNA sequencing was performed following the Illumina 16S protocol. The FDR correction was used for multiple comparison analyses. Results: A total of 26 circulating microRNAs and 12 bacterial species were found differentially expressed between cases and controls. Interestingly, an interaction among three miRNAs (miR-130b-3p, miR-185-5p and miR-21-5p) with Bacteroides eggerthi and BMI levels was evidenced (r2 = 0.148, p = 0.004). Moreover, these microRNAs regulate genes that participate in metabolism-related pathways, including fatty acid degradation, insulin signaling and glycerolipid metabolism. Conclusions: This study characterized an interaction between the abundance of 4 bacterial species and 14 circulating microRNAs in relation to obesity. Moreover, the current study also suggests that miRNAs may serve as a communication mechanism between the gut microbiome and human hosts.
AbstractList Background: The determinants that mediate the interactions between microRNAs and the gut microbiome impacting on obesity are scarcely understood. Thus, the aim of this study was to investigate possible interactions between circulating microRNAs and gut microbiota composition in obesity. Method: The sample comprised 78 subjects with obesity (cases, body mass index (BMI): 30–40 kg/m2) and 25 eutrophic individuals (controls, BMI ≤ 25 kg/m2). The expression of 96 microRNAs was investigated in plasma of all individuals using miRCURY LNA miRNA Custom PCR Panels. Bacterial DNA sequencing was performed following the Illumina 16S protocol. The FDR correction was used for multiple comparison analyses. Results: A total of 26 circulating microRNAs and 12 bacterial species were found differentially expressed between cases and controls. Interestingly, an interaction among three miRNAs (miR-130b-3p, miR-185-5p and miR-21-5p) with Bacteroides eggerthi and BMI levels was evidenced (r2 = 0.148, p = 0.004). Moreover, these microRNAs regulate genes that participate in metabolism-related pathways, including fatty acid degradation, insulin signaling and glycerolipid metabolism. Conclusions: This study characterized an interaction between the abundance of 4 bacterial species and 14 circulating microRNAs in relation to obesity. Moreover, the current study also suggests that miRNAs may serve as a communication mechanism between the gut microbiome and human hosts.
Background: The determinants that mediate the interactions between microRNAs and the gut microbiome impacting on obesity are scarcely understood. Thus, the aim of this study was to investigate possible interactions between circulating microRNAs and gut microbiota composition in obesity. Method: The sample comprised 78 subjects with obesity (cases, body mass index (BMI): 30–40 kg/m 2 ) and 25 eutrophic individuals (controls, BMI ≤ 25 kg/m 2 ). The expression of 96 microRNAs was investigated in plasma of all individuals using miRCURY LNA miRNA Custom PCR Panels. Bacterial DNA sequencing was performed following the Illumina 16S protocol. The FDR correction was used for multiple comparison analyses. Results: A total of 26 circulating microRNAs and 12 bacterial species were found differentially expressed between cases and controls. Interestingly, an interaction among three miRNAs (miR-130b-3p, miR-185-5p and miR-21-5p) with Bacteroides eggerthi and BMI levels was evidenced (r 2 = 0.148, p = 0.004). Moreover, these microRNAs regulate genes that participate in metabolism-related pathways, including fatty acid degradation, insulin signaling and glycerolipid metabolism. Conclusions: This study characterized an interaction between the abundance of 4 bacterial species and 14 circulating microRNAs in relation to obesity. Moreover, the current study also suggests that miRNAs may serve as a communication mechanism between the gut microbiome and human hosts.
The determinants that mediate the interactions between microRNAs and the gut microbiome impacting on obesity are scarcely understood. Thus, the aim of this study was to investigate possible interactions between circulating microRNAs and gut microbiota composition in obesity.BACKGROUNDThe determinants that mediate the interactions between microRNAs and the gut microbiome impacting on obesity are scarcely understood. Thus, the aim of this study was to investigate possible interactions between circulating microRNAs and gut microbiota composition in obesity.The sample comprised 78 subjects with obesity (cases, body mass index (BMI): 30-40 kg/m2) and 25 eutrophic individuals (controls, BMI ≤ 25 kg/m2). The expression of 96 microRNAs was investigated in plasma of all individuals using miRCURY LNA miRNA Custom PCR Panels. Bacterial DNA sequencing was performed following the Illumina 16S protocol. The FDR correction was used for multiple comparison analyses.METHODThe sample comprised 78 subjects with obesity (cases, body mass index (BMI): 30-40 kg/m2) and 25 eutrophic individuals (controls, BMI ≤ 25 kg/m2). The expression of 96 microRNAs was investigated in plasma of all individuals using miRCURY LNA miRNA Custom PCR Panels. Bacterial DNA sequencing was performed following the Illumina 16S protocol. The FDR correction was used for multiple comparison analyses.A total of 26 circulating microRNAs and 12 bacterial species were found differentially expressed between cases and controls. Interestingly, an interaction among three miRNAs (miR-130b-3p, miR-185-5p and miR-21-5p) with Bacteroides eggerthi and BMI levels was evidenced (r2 = 0.148, p = 0.004). Moreover, these microRNAs regulate genes that participate in metabolism-related pathways, including fatty acid degradation, insulin signaling and glycerolipid metabolism.RESULTSA total of 26 circulating microRNAs and 12 bacterial species were found differentially expressed between cases and controls. Interestingly, an interaction among three miRNAs (miR-130b-3p, miR-185-5p and miR-21-5p) with Bacteroides eggerthi and BMI levels was evidenced (r2 = 0.148, p = 0.004). Moreover, these microRNAs regulate genes that participate in metabolism-related pathways, including fatty acid degradation, insulin signaling and glycerolipid metabolism.This study characterized an interaction between the abundance of 4 bacterial species and 14 circulating microRNAs in relation to obesity. Moreover, the current study also suggests that miRNAs may serve as a communication mechanism between the gut microbiome and human hosts.CONCLUSIONSThis study characterized an interaction between the abundance of 4 bacterial species and 14 circulating microRNAs in relation to obesity. Moreover, the current study also suggests that miRNAs may serve as a communication mechanism between the gut microbiome and human hosts.
The determinants that mediate the interactions between microRNAs and the gut microbiome impacting on obesity are scarcely understood. Thus, the aim of this study was to investigate possible interactions between circulating microRNAs and gut microbiota composition in obesity. The sample comprised 78 subjects with obesity (cases, body mass index (BMI): 30-40 kg/m ) and 25 eutrophic individuals (controls, BMI ≤ 25 kg/m ). The expression of 96 microRNAs was investigated in plasma of all individuals using miRCURY LNA miRNA Custom PCR Panels. Bacterial DNA sequencing was performed following the Illumina 16S protocol. The FDR correction was used for multiple comparison analyses. A total of 26 circulating microRNAs and 12 bacterial species were found differentially expressed between cases and controls. Interestingly, an interaction among three miRNAs (miR-130b-3p, miR-185-5p and miR-21-5p) with and BMI levels was evidenced ( = 0.148, = 0.004). Moreover, these microRNAs regulate genes that participate in metabolism-related pathways, including fatty acid degradation, insulin signaling and glycerolipid metabolism. This study characterized an interaction between the abundance of 4 bacterial species and 14 circulating microRNAs in relation to obesity. Moreover, the current study also suggests that miRNAs may serve as a communication mechanism between the gut microbiome and human hosts.
Author Assmann, Taís Silveira
Martínez, J. Alfredo
Cuevas-Sierra, Amanda
Riezu-Boj, José Ignacio
Milagro, Fermín I.
AuthorAffiliation 2 Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBERobn), Carlos III Health Institute, 28029 Madrid, Spain
1 Center for Nutrition Research, Department of Nutrition, Food Science and Physiology, University of Navarra, Irunlarrea 1, 31008 Pamplona, Spain; taisassmann@hotmail.com (T.S.A.); acuevas.1@alumni.unav.es (A.C.-S.); jiriezu@unav.es (J.I.R.-B.); jalfmtz@unav.es (J.A.M.)
3 IdiSNA—Navarra Institute for Health Research, 31008 Pamplona, Spain
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Cites_doi 10.1002/oby.21824
10.1111/j.1467-789X.2009.00595.x
10.1016/j.metabol.2017.09.006
10.1074/jbc.M116.770099
10.1038/nrg3074
10.1186/1743-7075-10-22
10.4172/2155-9929.1000251
10.1002/mnfr.201200594
10.1093/bioinformatics/btq725
10.1002/mbo3.611
10.1016/j.ymeth.2012.09.015
10.1053/j.gastro.2010.07.040
10.1016/j.cellsig.2014.02.003
10.1079/PHN2005745
10.1186/s13148-015-0101-5
10.1111/j.1461-0248.2006.00926.x
10.1074/jbc.M117.788596
10.1371/journal.pcbi.1003118
10.1186/gb-2009-10-6-r64
10.7717/peerj.545
10.1371/journal.pone.0152545
10.1111/1462-2920.13692
10.1101/gr.1239303
10.1093/ecco-jcc/jjy038
10.1016/j.ijcard.2015.08.161
10.1016/j.ijsu.2014.07.014
10.1194/jlr.M041335
10.1002/jcp.26523
10.1042/CS20180890
10.1001/jama.2013.281053
10.1186/s12864-015-2265-y
10.1371/journal.pone.0185097
10.1017/S1368980009993065
10.1093/nar/gks025
10.1249/MSS.0b013e318188607c
10.1038/nmeth.4468
10.7150/ijbs.8.171
10.1186/2049-2618-2-30
10.3390/ijms19041199
10.1007/s40618-015-0316-5
10.1016/j.jbi.2011.05.002
10.1016/j.nutres.2017.11.008
10.1093/nar/gkw1082
10.1016/j.jclinepi.2007.11.008
10.1373/clinchem.2012.195776
10.1161/CIRCRESAHA.110.226357
10.1080/1354750X.2019.1606279
10.1016/j.ypmed.2016.01.022
10.1038/nmeth.2604
10.1073/pnas.0810550106
10.1016/S0092-8674(04)00045-5
10.1097/MOL.0000000000000603
10.15698/mic2016.04.492
10.1371/journal.pone.0193173
10.1002/bies.201600200
10.1016/S0022-2836(05)80360-2
10.7717/peerj.3443
10.1038/s41366-018-0290-z
10.1111/apha.12681
10.1210/jc.2011-2525
10.1126/scitranslmed.aav1892
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Keywords Bacteroides eggerthi
miRNA
gut microbiota
obesity
BMI
Language English
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References Chen (ref_35) 2014; 26
Bartel (ref_7) 2004; 116
Camargo (ref_37) 2018; 50
Varo (ref_48) 2005; 8
ref_10
ref_53
Ortega (ref_17) 2013; 59
Tellam (ref_3) 2015; 7
ref_19
Blondal (ref_52) 2013; 59
Liu (ref_11) 2016; 3
Milagro (ref_9) 2019; 133
Singh (ref_15) 2012; 8
Hao (ref_60) 2011; 27
Milagro (ref_1) 2009; 10
Rahmati (ref_55) 2017; 45
Karvonen (ref_39) 2019; 43
Vienberg (ref_26) 2017; 219
Cui (ref_18) 2018; 78
Butz (ref_6) 2016; 39
ref_64
Nakata (ref_13) 2017; 292
Hildebrand (ref_56) 2014; 2
Rideout (ref_59) 2014; 2
ref_62
Altschul (ref_61) 1990; 215
John (ref_34) 2012; 40
ref_27
Altman (ref_41) 2008; 61
Mancabelli (ref_38) 2017; 19
Yang (ref_21) 2013; 55
(ref_23) 2019; 24
Poy (ref_25) 2009; 106
Medina (ref_31) 2017; 5
Maurizi (ref_8) 2018; 233
Shannon (ref_67) 2003; 13
ref_32
Vandenbroucke (ref_42) 2014; 12
Mestdagh (ref_54) 2009; 10
Pichler (ref_58) 2018; 7
Zampetaki (ref_36) 2010; 107
Villamil (ref_40) 2018; 50
Martinez (ref_45) 2016; 86
Rao (ref_51) 2013; 3
Rawal (ref_28) 2016; 202
Villard (ref_24) 2015; 6
Pasolli (ref_63) 2017; 14
Johnston (ref_33) 2018; 12
Zhao (ref_20) 2017; 25
Abete (ref_30) 2013; 10
Edgar (ref_57) 2013; 10
Forga (ref_49) 2009; 41
Virtue (ref_16) 2019; 11
Ruiz (ref_46) 2010; 13
Sedgeman (ref_22) 2019; 30
ref_47
Russell (ref_29) 2013; 57
ref_43
Peck (ref_14) 2017; 292
Dweep (ref_50) 2011; 44
Guyenet (ref_4) 2012; 97
ref_2
McKenna (ref_12) 2010; 139
Anderson (ref_66) 2006; 9
Esteller (ref_5) 2011; 12
Shannon (ref_65) 1997; 14
Milagro (ref_44) 2018; 2018
References_xml – volume: 25
  start-page: 958
  year: 2017
  ident: ref_20
  article-title: Plasma MicroRNA signature predicting weight gain among Mexican-American women
  publication-title: Obesity
  doi: 10.1002/oby.21824
– volume: 10
  start-page: 383
  year: 2009
  ident: ref_1
  article-title: Individuality and epigenetics in obesity
  publication-title: Obes. Rev.
  doi: 10.1111/j.1467-789X.2009.00595.x
– volume: 78
  start-page: 95
  year: 2018
  ident: ref_18
  article-title: Change in circulating microRNA profile of obese children indicates future risk of adult diabetes
  publication-title: Metabolism
  doi: 10.1016/j.metabol.2017.09.006
– volume: 292
  start-page: 2586
  year: 2017
  ident: ref_14
  article-title: Functional Transcriptomics in Diverse Intestinal Epithelial Cell Types Reveals Robust MicroRNA Sensitivity in Intestinal Stem Cells to Microbial Status
  publication-title: J. Biol. Chem.
  doi: 10.1074/jbc.M116.770099
– volume: 12
  start-page: 861
  year: 2011
  ident: ref_5
  article-title: Non-coding RNAs in human disease
  publication-title: Nat. Rev. Genet.
  doi: 10.1038/nrg3074
– volume: 10
  start-page: 22
  year: 2013
  ident: ref_30
  article-title: Short-term role of the dietary total antioxidant capacity in two hypocaloric regimes on obese with metabolic syndrome symptoms: The RESMENA randomized controlled trial
  publication-title: Nutr. Metab.
  doi: 10.1186/1743-7075-10-22
– volume: 6
  start-page: 251
  year: 2015
  ident: ref_24
  article-title: Diagnostic Value of Cell-free Circulating MicroRNAs for Obesity and Type 2 Diabetes: A Meta-analysis
  publication-title: J. Mol. Biomark. Diagn.
  doi: 10.4172/2155-9929.1000251
– volume: 57
  start-page: 523
  year: 2013
  ident: ref_29
  article-title: Major phenylpropanoid-derived metabolites in the human gut can arise from microbial fermentation of protein
  publication-title: Mol. Nutr. Food Res.
  doi: 10.1002/mnfr.201200594
– volume: 27
  start-page: 611
  year: 2011
  ident: ref_60
  article-title: Clustering 16S rRNA for OTU prediction: A method of unsupervised Bayesian clustering
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btq725
– volume: 7
  start-page: e00611
  year: 2018
  ident: ref_58
  article-title: A 16S rRNA gene sequencing and analysis protocol for the Illumina MiniSeq platform
  publication-title: Microbiologyopen
  doi: 10.1002/mbo3.611
– volume: 59
  start-page: S1
  year: 2013
  ident: ref_52
  article-title: Assessing sample and miRNA profile quality in serum and plasma or other biofluids
  publication-title: Methods
  doi: 10.1016/j.ymeth.2012.09.015
– volume: 139
  start-page: 1654
  year: 2010
  ident: ref_12
  article-title: MicroRNAs Control Intestinal Epithelial Differentiation, Architecture, and Barrier Function
  publication-title: Gastroenterology
  doi: 10.1053/j.gastro.2010.07.040
– volume: 14
  start-page: 306
  year: 1997
  ident: ref_65
  article-title: The mathematical theory of communication. 1963
  publication-title: MD Comput.
– volume: 26
  start-page: 1155
  year: 2014
  ident: ref_35
  article-title: Mature miR-183, negatively regulated by transcription factor GATA3, promotes 3T3-L1 adipogenesis through inhibition of the canonical Wnt/β-catenin signaling pathway by targeting LRP6
  publication-title: Cell. Signal.
  doi: 10.1016/j.cellsig.2014.02.003
– volume: 8
  start-page: 920
  year: 2005
  ident: ref_48
  article-title: Validation of the Spanish version of the physical activity questionnaire used in the Nurses’ Health Study and the Health Professionals’ Follow-up Study
  publication-title: Public Health Nutr.
  doi: 10.1079/PHN2005745
– volume: 7
  start-page: 66
  year: 2015
  ident: ref_3
  article-title: Recent developments on the role of epigenetics in obesity and metabolic disease
  publication-title: Clin. Epigenetics
  doi: 10.1186/s13148-015-0101-5
– volume: 9
  start-page: 683
  year: 2006
  ident: ref_66
  article-title: Multivariate dispersion as a measure of beta diversity
  publication-title: Ecol. Lett.
  doi: 10.1111/j.1461-0248.2006.00926.x
– volume: 292
  start-page: 15426
  year: 2017
  ident: ref_13
  article-title: Commensal microbiota-induced microRNA modulates intestinal epithelial permeability through the small GTPase ARF4
  publication-title: J. Biol. Chem.
  doi: 10.1074/jbc.M117.788596
– ident: ref_64
  doi: 10.1371/journal.pcbi.1003118
– volume: 10
  start-page: R64
  year: 2009
  ident: ref_54
  article-title: A novel and universal method for microRNA RT-qPCR data normalization
  publication-title: Genome Biol.
  doi: 10.1186/gb-2009-10-6-r64
– volume: 2
  start-page: e545
  year: 2014
  ident: ref_59
  article-title: Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences
  publication-title: PeerJ
  doi: 10.7717/peerj.545
– ident: ref_19
  doi: 10.1371/journal.pone.0152545
– volume: 19
  start-page: 1379
  year: 2017
  ident: ref_38
  article-title: Meta-analysis of the human gut microbiome from urbanized and pre-agricultural populations
  publication-title: Environ. Microbiol.
  doi: 10.1111/1462-2920.13692
– volume: 13
  start-page: 2498
  year: 2003
  ident: ref_67
  article-title: Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks
  publication-title: Genome Res.
  doi: 10.1101/gr.1239303
– volume: 12
  start-page: 835
  year: 2018
  ident: ref_33
  article-title: Loss of MicroRNA-21 Influences the Gut Microbiota, Causing Reduced Susceptibility in a Murine Model of Colitis
  publication-title: J. Crohn’s Colitis
  doi: 10.1093/ecco-jcc/jjy038
– volume: 202
  start-page: 40
  year: 2016
  ident: ref_28
  article-title: Differential expression pattern of cardiovascular microRNAs in the human type-2 diabetic heart with normal ejection fraction
  publication-title: Int. J. Cardiol.
  doi: 10.1016/j.ijcard.2015.08.161
– volume: 12
  start-page: 1500
  year: 2014
  ident: ref_42
  article-title: Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and elaboration
  publication-title: Int. J. Surg.
  doi: 10.1016/j.ijsu.2014.07.014
– volume: 55
  start-page: 226
  year: 2013
  ident: ref_21
  article-title: Identification of miR-185 as a regulator of de novo cholesterol biosynthesis and low density lipoprotein uptake
  publication-title: J. Lipid Res.
  doi: 10.1194/jlr.M041335
– volume: 233
  start-page: 9077
  year: 2018
  ident: ref_8
  article-title: Potential role of microRNAs in the regulation of adipocytes liposecretion and adipose tissue physiology
  publication-title: J. Cell. Physiol.
  doi: 10.1002/jcp.26523
– volume: 133
  start-page: 23
  year: 2019
  ident: ref_9
  article-title: MicroRNAs and other non-coding RNAs in adipose tissue and obesity: Emerging roles as biomarkers and therapeutic targets
  publication-title: Clin. Sci.
  doi: 10.1042/CS20180890
– ident: ref_43
  doi: 10.1001/jama.2013.281053
– ident: ref_62
  doi: 10.1186/s12864-015-2265-y
– ident: ref_27
  doi: 10.1371/journal.pone.0185097
– volume: 13
  start-page: 1364
  year: 2010
  ident: ref_46
  article-title: Reproducibility of an FFQ validated in Spain
  publication-title: Public Health Nutr.
  doi: 10.1017/S1368980009993065
– volume: 40
  start-page: 4446
  year: 2012
  ident: ref_34
  article-title: Dataset integration identifies transcriptional regulation of microRNA genes by PPARγ in differentiating mouse 3T3-L1 adipocytes
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/gks025
– volume: 41
  start-page: 516
  year: 2009
  ident: ref_49
  article-title: Changes in Weight and Physical Activity over Two Years in Spanish Alumni
  publication-title: Med. Sci. Sports Exerc.
  doi: 10.1249/MSS.0b013e318188607c
– ident: ref_47
– volume: 14
  start-page: 1023
  year: 2017
  ident: ref_63
  article-title: Accessible, curated metagenomic data through ExperimentHub
  publication-title: Nat. Methods
  doi: 10.1038/nmeth.4468
– volume: 8
  start-page: 171
  year: 2012
  ident: ref_15
  article-title: The Murine Caecal MicroRNA Signature Depends on the Presence of the Endogenous Microbiota
  publication-title: Int. J. Biol. Sci.
  doi: 10.7150/ijbs.8.171
– volume: 2
  start-page: 30
  year: 2014
  ident: ref_56
  article-title: LotuS: An efficient and user-friendly OTU processing pipeline
  publication-title: Microbiome
  doi: 10.1186/2049-2618-2-30
– ident: ref_32
  doi: 10.3390/ijms19041199
– volume: 39
  start-page: 1
  year: 2016
  ident: ref_6
  article-title: Circulating miRNAs as biomarkers for endocrine disorders
  publication-title: J. Endocrinol. Investig.
  doi: 10.1007/s40618-015-0316-5
– volume: 50
  start-page: 168
  year: 2018
  ident: ref_37
  article-title: A plasma circulating miRNAs profile predicts type 2 diabetes mellitus and prediabetes: From the CORDIOPREV study
  publication-title: Exp. Mol. Med.
– volume: 44
  start-page: 839
  year: 2011
  ident: ref_50
  article-title: miRWalk—Database: Prediction of possible miRNA binding sites by “walking” the genes of three genomes
  publication-title: J. Biomed. Inform.
  doi: 10.1016/j.jbi.2011.05.002
– volume: 2018
  start-page: 4283078
  year: 2018
  ident: ref_44
  article-title: Prediction of Blood Lipid Phenotypes Using Obesity-Related Genetic Polymorphisms and Lifestyle Data in Subjects with Excessive Body Weight
  publication-title: Int. J. Genom.
– volume: 50
  start-page: 25
  year: 2018
  ident: ref_40
  article-title: Adverse effect of early-life high-fat/high-carbohydrate (“Western”) diet on bacterial community in the distal bowel of mice
  publication-title: Nutr. Res.
  doi: 10.1016/j.nutres.2017.11.008
– volume: 45
  start-page: D419
  year: 2017
  ident: ref_55
  article-title: pathDIP: An annotated resource for known and predicted human gene-pathway associations and pathway enrichment analysis
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/gkw1082
– volume: 61
  start-page: 344
  year: 2008
  ident: ref_41
  article-title: The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies
  publication-title: J. Clin. Epidemiol.
  doi: 10.1016/j.jclinepi.2007.11.008
– volume: 3
  start-page: 71
  year: 2013
  ident: ref_51
  article-title: An improvement of the 2ˆ(–delta delta CT) method for quantitative real-time polymerase chain reaction data analysis
  publication-title: Biostat. Bioinform. Biomath.
– volume: 59
  start-page: 781
  year: 2013
  ident: ref_17
  article-title: Targeting the circulating microRNA signature of obesity
  publication-title: Clin Chem.
  doi: 10.1373/clinchem.2012.195776
– volume: 107
  start-page: 810
  year: 2010
  ident: ref_36
  article-title: Plasma MicroRNA Profiling Reveals Loss of Endothelial MiR-126 and Other MicroRNAs in Type 2 Diabetes
  publication-title: Circ. Res.
  doi: 10.1161/CIRCRESAHA.110.226357
– volume: 24
  start-page: 499
  year: 2019
  ident: ref_23
  article-title: Circulating microRNAs in human obesity: A systematic review
  publication-title: Biomarkers
  doi: 10.1080/1354750X.2019.1606279
– volume: 86
  start-page: 99
  year: 2016
  ident: ref_45
  article-title: Triglyceride–glucose index (TyG index) in comparison with fasting plasma glucose improved diabetes prediction in patients with normal fasting glucose: The Vascular-Metabolic CUN cohort
  publication-title: Prev. Med.
  doi: 10.1016/j.ypmed.2016.01.022
– volume: 10
  start-page: 996
  year: 2013
  ident: ref_57
  article-title: UPARSE: Highly accurate OTU sequences from microbial amplicon reads
  publication-title: Nat. Methods
  doi: 10.1038/nmeth.2604
– volume: 106
  start-page: 5813
  year: 2009
  ident: ref_25
  article-title: miR-375 maintains normal pancreatic alpha- and beta-cell mass
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.0810550106
– volume: 116
  start-page: 281
  year: 2004
  ident: ref_7
  article-title: MicroRNAs: Genomics, biogenesis, mechanism, and function
  publication-title: Cell
  doi: 10.1016/S0092-8674(04)00045-5
– volume: 30
  start-page: 165
  year: 2019
  ident: ref_22
  article-title: Integrative roles of microRNAs in lipid metabolism and dyslipidemia
  publication-title: Curr. Opin. Lipidol.
  doi: 10.1097/MOL.0000000000000603
– volume: 3
  start-page: 176
  year: 2016
  ident: ref_11
  article-title: Control of the gut microbiome by fecal microRNA
  publication-title: Microb. Cell
  doi: 10.15698/mic2016.04.492
– ident: ref_2
– ident: ref_53
  doi: 10.1371/journal.pone.0193173
– ident: ref_10
  doi: 10.1002/bies.201600200
– volume: 215
  start-page: 403
  year: 1990
  ident: ref_61
  article-title: Basic local alignment search tool
  publication-title: J. Mol. Biol.
  doi: 10.1016/S0022-2836(05)80360-2
– volume: 5
  start-page: e3443
  year: 2017
  ident: ref_31
  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: 43
  start-page: 713
  year: 2019
  ident: ref_39
  article-title: Gut microbiota and overweight in 3-year old children
  publication-title: Int. J. Obes.
  doi: 10.1038/s41366-018-0290-z
– volume: 219
  start-page: 346
  year: 2017
  ident: ref_26
  article-title: MicroRNAs in metabolism
  publication-title: Acta Physiol.
  doi: 10.1111/apha.12681
– volume: 97
  start-page: 745
  year: 2012
  ident: ref_4
  article-title: Clinical review: Regulation of Food Intake, Energy Balance, and Body Fat Mass: Implications for the Pathogenesis and Treatment of Obesity
  publication-title: J. Clin. Endocrinol. Metab.
  doi: 10.1210/jc.2011-2525
– volume: 11
  start-page: eaav1892
  year: 2019
  ident: ref_16
  article-title: The gut microbiota regulates white adipose tissue inflammation and obesity via a family of microRNAs
  publication-title: Sci. Transl. Med.
  doi: 10.1126/scitranslmed.aav1892
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Snippet Background: The determinants that mediate the interactions between microRNAs and the gut microbiome impacting on obesity are scarcely understood. Thus, the aim...
The determinants that mediate the interactions between microRNAs and the gut microbiome impacting on obesity are scarcely understood. Thus, the aim of this...
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StartPage 9509
SubjectTerms Adipocytes
Bacteroides - physiology
Biomarkers - blood
Body Mass Index
Cell cycle
Circulating MicroRNA - blood
Epigenetics
Gastrointestinal Microbiome - physiology
Gender
Gene expression
Glucose
Gut microbiota
Homeostasis
Humans
Insulin
Metabolism
Microbiota
MicroRNAs
MicroRNAs - blood
Obesity
Obesity - blood
Polymerase Chain Reaction
Triglycerides
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Title Comprehensive Analysis Reveals Novel Interactions between Circulating MicroRNAs and Gut Microbiota Composition in Human Obesity
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