Details of Microbe Species (MIC)

General Information of MIC (ID: MIC00141)
MIC Name Bacteroidetes (CFB bacteria)
MIC Synonyms Cytophaga-Flexibacter group, Bacteroidota, CFB group, Cytophaga-Flexibacter-Bacteroides phylum
Body Site Gut
Lineage Kingdom: Bacteria
Phylum: Bacteroidetes
Oxygen Sensitivity Aerobe or Anaerobe
Microbial Metabolism Fermentative
Gram Negative
Host Relationship Commensal
Description The phylum Bacteroidetes is composed of three large classes of Gram-negative, nonsporeforming, anaerobic or aerobic and rod-shaped bacteria that are widely distributed in the environment, including in soil, sediments, and sea water, as well as in the guts and on the skin of animals.
External Links Taxonomy ID
976
Disease Relevance
          Autism spectrum disorder  [ICD-11: 6A02]
             Description Bacteroidetes is downregulated in disease expression of austim. [1]
          Chronic kidney disease  [ICD-11: GB61]
             Description Bacterioidetes was the most predominant taxa at the phylum level among different stages of CKD(Chronic kidney disease) patients. [2]
          Inflammatory bowel disease  [ICD-11: DD72]
             Description Bacteroidetes is upregulated in Inflammatory bowel disease. [3]
          Insulin-resistance syndromes  [ICD-11: 5A44]
             Description Insulin resistance was associated with Bacteroidetes infection. [4]
          Obesity  [ICD-11: 5B81]
             Description The level of Bacteroidetes decreased in obese humans. [5]
          Type 1 diabetes mellitus  [ICD-11: 5A10]
             Description Decreased levels of Bacteroidetes in the gut microbiota may contribute to the pathogenesis of Type 1 diabetes. [5]
          Type 2 diabetes mellitus  [ICD-11: 5A11]
             Description The intestinal microbiota across the subjects with type 2 diabetes was relatively enriched with the phyla Bacteroidete. [6]
          Ulcerative colitis  [ICD-11: DD71]
             Description The differences at the phylum level between the Ulcerative colitis and Familial adenomatous polyposis cohorts corresponded to significant increases in the levels of the proteobacterial families Comamonadaceae, Moraxellaceae and Alcaligenaceae in tandem with a significant reduction in the Bacteroidetes families Bacteroidaceae and Prevotellaceae and the Firmicutes family Ruminococcaceae in Ulcerative colitis. [7]
Host Genetic Factors (HGFs)
          TLR5
             HGF ID HGF2330 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The deletion of TLR5 could significantly decrease relative abundances of Bacteroidetes (p-value<0.05). [8]
          HES1
             HGF ID HGF2338 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The deletion of HES1 was significantly associated with the decreased abundance of Bacteroidetes (p-value<0.005). [9]
          TLR2
             HGF ID HGF2319 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The deletion of TLR2 was significantly associated with a decrease in the Bacteroidetes phyla (p-value<0.05). [10]
          TLR4
             HGF ID HGF2320 HGF Info       Class Copy Number Variation: Gene Duplication (CNV-GDu)
             Description The deletion of TLR4 has been associated with the decreased abundance of Bacteroidetes. [11]
          MUC2
             HGF ID HGF2331 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The deletion of MUC2 has been associated with the decreased amount of Bacteroidetes. [11]
          hsa-miR-141-3p
             HGF ID HGF0259 HGF Info       Class Non-coding RNA: Micro (ncRNA-miRNA)
             Description The level of miR-141c-3p expression was significantly associated with Bacteroidetes abundances (p-value<0.05). [12]
          hsa-miR-200a-3p
             HGF ID HGF0213 HGF Info       Class Non-coding RNA: Micro (ncRNA-miRNA)
             Description The level of miR-200a-3p was substantially correlated with the relative abundance of Bacteroidetes. [12]
          rs7134375
             HGF ID HGF1645 HGF Info       Class Single Nucleotide Polymorphism: Non coding transcript variant (SNP-NCTV)
             Description The rs7134375 SNP was significantly associated with the abundance of Bacteroidetes(p-value=7.62E-05). [13]
          rs62171178
             HGF ID HGF1317 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs62171178 SNP was significantly associated with the relative abundance of Bacteroidetes (p-value=3.23E-10). [14]
          rs516246
             HGF ID HGF1582 HGF Info       Class Single Nucleotide Polymorphism: Non coding transcript variant (SNP-NCTV)
             Description The rs516246 SNP was associated with the abundance of Bacteroidetes (p-value=0.00745). [15]
          rs4897946
             HGF ID HGF1516 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs4897946 SNP was significantly associated with the abundance of Bacteroidetes (p-value=1.67E-07). [16]
          rs4777927
             HGF ID HGF1581 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs4777927 SNP was significantly associated with the abundance of Bacteroidetes (p-value=1.67E-08). [16]
          rs3909540
             HGF ID HGF1670 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs3909540 SNP was significantly associated with the abundance of Bacteroidetes (p-value=6.96E-08). [16]
          rs17098734
             HGF ID HGF1314 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs17098734 SNP was significantly associated with the abundance of Bacteroidetes (p-value=2.76E-07). [16]
          rs16901246
             HGF ID HGF1839 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs16901246 SNP was significantly associated with the relative abundance of Bacteroidetes (p-value=5.34E-11). [14]
          rs147600757
             HGF ID HGF2300 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs147600757 SNP was significantly associated with the relative abundance of Bacteroidetes (p-value=7.89E-10). [14]
          rs12328675
             HGF ID HGF1845 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs12328675 SNP was significantly associated with the abundance of Bacteroidetes (p-value=1.36E-05). [13]
          rs115795847
             HGF ID HGF2149 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs115795847 SNP was significantly associated with the relative abundance of Bacteroidetes (p-value=1.61E-08). [14]
Host Immune Factors (HIFs)
          C-C motif chemokine 13
             HIF ID HIFM0018 HIF Info       Class Antimicrobial peptide (AMP)
             Description The Bacteroidetes abundance was correlated with expression of CCL13. [17]
          Neurotensin
             HIF ID HIFM0315 HIF Info       Class Antimicrobial peptide (AMP)
             Description HFD-fed neurotensin+/+ mice had a significantly decreased abundance of the general Odoribacter (belonging to Bacteroidetes phylum). [18]
          Tumor necrosis factor ligand superfamily member 15
             HIF ID HIFM0224 HIF Info       Class Checkpoint molecule (CM)
             Description The deletion of TL1A could change the ratio of Bacteroidetes. [19]
          C-X-C motif chemokine 11
             HIF ID HIFM0075 HIF Info       Class Cytokine (Cyt)
             Description The presence of the genus Bacteroides was associated with high levels of the Th1-associated chemokines CXCL11 during infancy. [20]
          Low affinity immunoglobulin gamma Fc region receptor III
             HIF ID HIFM0102 HIF Info       Class Fc Receptor (FCR)
             Description The increased Bacteroidetes was negatively correlated with the variation of CD16+ monocyte percentage. [21]
          CD4+ regulatory T cells
             HIF ID HIFC0034 HIF Info       Class T cells (TCs)
             Description The relative abundance of Bacteroidetes was negatively associated with CD4+ Tregulatory cells. [22]
Environmental Factor(s)
             Disbiome ID
      348
             gutMDisorder ID
      gm0090
References
1 The impact of the gut microbiota on human health: an integrative view. Cell. 2012 Mar 16;148(6):1258-70. doi: 10.1016/j.cell.2012.01.035.
2 Gut Microbiota as Diagnostic Tools for Mirroring Disease Progression and Circulating Nephrotoxin Levels in Chronic Kidney Disease: Discovery and Validation Study. Int J Biol Sci. 2020 Jan 1;16(3):420-434. doi: 10.7150/ijbs.37421. eCollection 2020.
3 The human gutome: nutrigenomics of the host-microbiome interactions. OMICS. 2011 Jul-Aug;15(7-8):419-30. doi: 10.1089/omi.2010.0109. Epub 2010 Dec 1.
4 Obesity and the human microbiome. Curr Opin Gastroenterol. 2010 Jan;26(1):5-11. doi: 10.1097/MOG.0b013e328333d751.
5 99th Dahlem conference on infection, inflammation and chronic inflammatory disorders: the normal gut microbiota in health and disease. Clin Exp Immunol. 2010 Apr;160(1):80-4. doi: 10.1111/j.1365-2249.2010.04123.x.
6 Gut microbiota in human adults with type 2 diabetes differs from non-diabetic adults. PLoS One. 2010 Feb 5;5(2):e9085. doi: 10.1371/journal.pone.0009085.
7 The bacteriology of pouchitis: a molecular phylogenetic analysis using 16S rRNA gene cloning and sequencing. Ann Surg. 2010 Jul;252(1):90-8. doi: 10.1097/SLA.0b013e3181e3dc8b.
8 Deletion of the Toll-Like Receptor 5 Gene Per Se Does Not Determine the Gut Microbiome Profile That Induces Metabolic Syndrome: Environment Trumps Genotype.PLoS One. 2016 Mar 7;11(3):e0150943. doi: 10.1371/journal.pone.0150943. eCollection 2016.
9 Epithelial Hes1 maintains gut homeostasis by preventing microbial dysbiosis.Mucosal Immunol. 2018 May;11(3):716-726. doi: 10.1038/mi.2017.111. Epub 2018 Jan 3.
10 Microbiota determines insulin sensitivity in TLR2-KO mice.Life Sci. 2019 Oct 1;234:116793. doi: 10.1016/j.lfs.2019.116793. Epub 2019 Aug 26.
11 Current understanding of the gut microbiota shaping mechanisms.J Biomed Sci. 2019 Aug 21;26(1):59. doi: 10.1186/s12929-019-0554-5.
12 Vascular microRNA-204 is remotely governed by the microbiome and impairs endothelium-dependent vasorelaxation by downregulating Sirtuin1. Vikram A, Kim YR, Kumar S, Li Q, Kassan M, Jacobs JS, Irani K.. Nat Commun. 2016 Sep 2;7:12565. doi: 10.1038/ncomms12565.
13 The Gut Microbiome Contributes to a Substantial Proportion of the Variation in Blood Lipids.Circ Res. 2015 Oct 9;117(9):817-24. doi: 10.1161/CIRCRESAHA.115.306807. Epub 2015 Sep 10.
14 Association of host genome with intestinal microbial composition in a large healthy cohort.Nat Genet. 2016 Nov;48(11):1413-1417. doi: 10.1038/ng.3693. Epub 2016 Oct 3.
15 FUT2 genotype and secretory status are not associated with fecal microbial composition and inferred function in healthy subjects.Gut Microbes. 2018 Jul 4;9(4):357-368. doi: 10.1080/19490976.2018.1445956. Epub 2018 Apr 27.
16 Genetic Determinants of the Gut Microbiome in UK Twins.Cell Host Microbe. 2016 May 11;19(5):731-43. doi: 10.1016/j.chom.2016.04.017.
17 Duodenal Mucosa of Patients With Type 1 Diabetes Shows Distinctive Inflammatory Profile and Microbiota.J Clin Endocrinol Metab. 2017 May 1;102(5):1468-1477. doi: 10.1210/jc.2016-3222.
18 Absence of neurotensin attenuates intestinal dysbiosis and inflammation by maintaining Mmp7/-defensin axis in diet-induced obese mice.FASEB J. 2020 Jun;34(6):8596-8610. doi: 10.1096/fj.201902374RR. Epub 2020 May 2.
19 TL1A regulates TCR+ intraepithelial lymphocytes and gut microbial composition.Eur J Immunol. 2015 Mar;45(3):865-75. doi: 10.1002/eji.201444528. Epub 2014 Dec 23.
20 The composition of the gut microbiota throughout life, with an emphasis on early life.Microb Ecol Health Dis. 2015 Feb 2;26:26050. doi: 10.3402/mehd.v26.26050. eCollection 2015.
21 Change in gut microbiota is correlated with alterations in the surface molecule expression of monocytes after Roux-en-Y gastric bypass surgery in obese type 2 diabetic patients. Am J Transl Res. 2017 Mar 15;9(3):1243-1254. eCollection 2017.
22 Associations between the gut microbiota and host immune markers in pediatric multiple sclerosis and controls.BMC Neurol. 2016 Sep 21;16(1):182. doi: 10.1186/s12883-016-0703-3.

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