General Information of MIC (ID: MIC00176)
MIC Name Bacteroides sp. (CFB bacteria)
Body Site Gut
Lineage Kingdom: Bacteria
Phylum: Bacteroidetes
Class: Bacteroidia
Order: Bacteroidales
Family: Bacteroidaceae
Genus: Bacteroides
Species: Bacteroides sp.
Oxygen Sensitivity Obligate anaerobe
Microbial Metabolism Saccharolytic, Fermentative
Gram Negative
Host Relationship Opportunistic pathogen; Commensal
Description Bacteroides is a genus of Gram-negative, obligate anaerobic bacteria. Bacteroides species are non endospore-forming bacilli, and may be either motile or nonmotile, depending on the species.
External Links Taxonomy ID
29523
GOLD Organism ID
Go0004785
Disease Relevance
          Chronic kidney disease  [ICD-11: GB61]
             Description Bacteroidaceae was associated with chronic kidney disease. [1]
          Crohn disease  [ICD-11: DD70]
             Description Crohns disease-associated microbiota are characterized by the omnipresence of Bacteroides. [2]
          Depression  [ICD-11: 6A70]
             Description An increase in Bacteroidaceae has been observed in patients with depression. [3]
          Inflammatory bowel disease  [ICD-11: DD72]
             Description Species diversity of Bacteroidales was decreased in inflammatory bowel disease compared to controls and with increasingly inflamed tissue. [4]
          Irritable bowel syndrome  [ICD-11: DD91]
             Description An increase in Bacteroidaceae has been observed in patients with irritable Bowel Syndrome. [3]
          Liver cirrhosis  [ICD-11: DB93]
             Description Bacteroides sp. in the oropharyngeal microbiome was associated with liver cirrhosis. [5]
          Peptic ulcer  [ICD-11: DA61]
             Description Elevated content of Bacteroides occured in peptic ulcer disorders. [6]
          Pneumonia  [ICD-11: CA40]
             Description Bacteroides sp. in the oropharyngeal microbiome was associated with pneumonia. [5]
          Ulcerative colitis  [ICD-11: DD71]
             Description The level of Bacteroides community decreased in ulcerative colitis. [7]
Host Genetic Factors (HGFs)
          NOD2
             HGF ID HGF2335 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The deletion of NOD2 showed significantly increased abundance of Bacteroides sp. (p-value<0.05). [8]
          AMY1A
             HGF ID HGF2311 HGF Info       Class Copy Number Variation: Gene Duplication (CNV-GDu)
             Description Gut microbiome Bacteroides differs between high AMY1-CN and low AMY1-CN groups at the OTU Level (p-value<0.05). [9]
          A2ML1
             HGF ID HGF2326 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The duplication of A2ML1 could increase relative abundances of Bacteroides (p-value<0.05). [10]
          KLB
             HGF ID HGF2334 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The deletion of KLB increased the proportion of Bacteroides. [11]
          TLR9
             HGF ID HGF2343 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The deletion of TLR9 has been associated with the lower levels of Bacteroides. [12]
          VIPR2
             HGF ID HGF2350 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The deletion of VIPR2 has been associated with the increased abundance of Bacteroides. [13]
          VDR
             HGF ID HGF2353 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The percentage of abundance of Bacteroides significantly increased in VDR deletion mice (p-value<0.05). [14]
          ARNTL
             HGF ID HGF2325 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The deletion of BMAL1 could increase relative abundances of Bacteroidales spp. (p-value<0.05). [15]
          KCNE2
             HGF ID HGF2341 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The deletion of KCNE2 was significantly associated with the reduced relative abundance of the Bacteroidales (p-value<0.05). [16]
          SLC15A1
             HGF ID HGF2354 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The deletion of PepT1 could decrease the abundance of Bacteroides. [17]
          NLRP3
             HGF ID HGF2355 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The deletion of NLRP3 could significantly decrease the abundance of Bacteroides (p-value<0.001). [18]
          NLRP6
             HGF ID HGF2356 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The deletion of Nlrp6 could decrease the abundance of Bacteroidaceae. [19]
          RAG2
             HGF ID HGF2357 HGF Info       Class Copy Number Variation: Gene Deletion (CNV-GDe)
             Description The deletion of Rag2 could decrease the abundance of Bacteroidales. [20]
          hsa-miR-204-5p
             HGF ID HGF0207 HGF Info       Class Non-coding RNA: Micro (ncRNA-miRNA)
             Description The expression of miR-204 was significantly regulated by Bacteroides (p-value<0.05). [21]
          rs984668
             HGF ID HGF2269 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs984668 SNP was significantly associated with the abundance of Bacteroides (p-value=1.98E-07). [22]
          rs7886938
             HGF ID HGF1632 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs7886938 SNP was significantly associated with the abundance of Bacteroides (p-value=5.45E-07). [22]
          rs7644
             HGF ID HGF1437 HGF Info       Class Single Nucleotide Polymorphism: Prime UTR variant (SNP-PV)
             Description The rs7644 SNP was significantly associated with the abundance of Bacteroides (p-value=2.62E-06). [22]
          rs7634041
             HGF ID HGF2089 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs7634041 SNP was significantly associated with the abundance of Bacteroides (p-value=1.44E-06). [22]
          rs737301
             HGF ID HGF2299 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs737301 SNP was significantly associated with the abundance of Bacteroides (p-value=1.63E-06). [22]
          rs7296338
             HGF ID HGF2233 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs7296338 SNP was significantly associated with the abundance of Bacteroides (p-value=2.85E-07). [22]
          rs7258176
             HGF ID HGF1293 HGF Info       Class Single Nucleotide Polymorphism: Synonymous variant (SNP-SV)
             Description The rs7258176 SNP was significantly associated with the abundance of Bacteroides (p-value=1.16E-05). [22]
          rs7139612
             HGF ID HGF1679 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs7139612 SNP was significantly associated with the abundance of Bacteroides (p-value=1.13E-05). [22]
          rs7106602
             HGF ID HGF1824 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs7106602 SNP was significantly associated with the abundance of Bacteroides (p-value=5.62E-06). [22]
          rs6536782
             HGF ID HGF1529 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs6536782 SNP was significantly associated with the abundance of Bacteroides (p-value=1.50E-05). [22]
          rs6466898
             HGF ID HGF2006 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs6466898 SNP was significantly associated with the abundance of Bacteroides (p-value=3.65E-06). [22]
          rs508259
             HGF ID HGF1475 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs508259 SNP was significantly associated with the abundance of Bacteroides (p-value=3.24E-08). [22]
          rs4986790
             HGF ID HGF1279 HGF Info       Class Single Nucleotide Polymorphism: Missense variant (SNP-MV)
             Description A variant in TLR4 (rs4986790) was found to be associated with an increase in Bacteroides. [23]
          rs4901725
             HGF ID HGF2203 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs4901725 SNP was significantly associated with the abundance of Bacteroides (p-value=2.43E-08). [22]
          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 Bacteroides (p-value=1.67E-08). [22]
          rs4747490
             HGF ID HGF2266 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs4747490 SNP was significantly associated with the abundance of Bacteroides (p-value=5.72E-06). [22]
          rs470497
             HGF ID HGF2158 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs470497 SNP was significantly associated with the abundance of Bacteroides (p-value=3.01E-06). [22]
          rs4628206
             HGF ID HGF1432 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs4628206 SNP was significantly associated with the abundance of Bacteroides (p-value=5.13E-08). [22]
          rs4468234
             HGF ID HGF1621 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs4468234 SNP was significantly associated with the abundance of Bacteroides (p-value=0.03809). [24]
          rs4463892
             HGF ID HGF2242 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs4463892 SNP was significantly associated with the abundance of Bacteroides (p-value=0.02738). [24]
          rs4360824
             HGF ID HGF2217 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs4360824 SNP was significantly associated with the abundance of Bacteroides (p-value=1.53E-06). [22]
          rs3950612
             HGF ID HGF1910 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs3950612 SNP was significantly associated with the abundance of Bacteroides (p-value=4.02E-07). [22]
          rs380915
             HGF ID HGF1612 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs380915 SNP was significantly associated with the abundance of Bacteroides (p-value=1.04E-06). [22]
          rs360402
             HGF ID HGF2090 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs360402 SNP was significantly associated with the abundance of Bacteroides (p-value=1.54E-06). [22]
          rs3105827
             HGF ID HGF2174 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs3105827 SNP was significantly associated with the abundance of Bacteroides (p-value=6.96E-06). [22]
          rs2997983
             HGF ID HGF1944 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs2997983 SNP was significantly associated with the abundance of Bacteroides (p-value=7.66E-07). [22]
          rs295569
             HGF ID HGF1483 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs295569 SNP was significantly associated with the abundance of Bacteroides (p-value=8.64E-06). [22]
          rs2866194
             HGF ID HGF2081 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs2866194 SNP was significantly associated with the abundance of Bacteroides (p-value=4.45E-08). [22]
          rs2704557
             HGF ID HGF2138 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs2704557 SNP was significantly associated with the abundance of Bacteroides (p-value=3.63E-07). [22]
          rs2282644
             HGF ID HGF1233 HGF Info       Class Single Nucleotide Polymorphism: Synonymous variant (SNP-SV)
             Description The rs2282644 SNP was significantly associated with the abundance of Bacteroides (p-value=1.66E-07). [22]
          rs2228440
             HGF ID HGF1427 HGF Info       Class Single Nucleotide Polymorphism: Synonymous variant (SNP-SV)
             Description The rs2228440 SNP was significantly associated with the abundance of Bacteroides (p-value=7.41E-06). [22]
          rs2228332
             HGF ID HGF1923 HGF Info       Class Single Nucleotide Polymorphism: Missense variant (SNP-MV)
             Description The rs2228332 SNP was associated with the abundance of Bacteroides (p-value=1.19E-06). [25]
          rs2198863
             HGF ID HGF2040 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs2198863 SNP was associated with the abundance of Bacteroides (p-value=4.39E-07). [22]
          rs1948223
             HGF ID HGF1677 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs1948223 SNP was associated with the abundance of Bacteroides (p-value=8.26E-08). [22]
          rs193591
             HGF ID HGF1313 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs193591 SNP was associated with the abundance of Bacteroides (p-value=0.03118). [24]
          rs1918707
             HGF ID HGF2243 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs1918707 SNP was associated with the abundance of Bacteroides (p-value=8.29E-07). [22]
          rs17506987
             HGF ID HGF2077 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs17506987 SNP was associated with the abundance of Bacteroides (p-value=5.26E-07). [22]
          rs16948999
             HGF ID HGF1520 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs16948999 SNP was associated with the abundance of Bacteroides (p-value=5.29E-06). [22]
          rs159373
             HGF ID HGF1484 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs159373 SNP was associated with the abundance of Bacteroides (p-value=1.67E-07). [22]
          rs151216
             HGF ID HGF1696 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs151216 SNP was associated with the abundance of Bacteroides (p-value=1.08E-06). [22]
          rs1508541
             HGF ID HGF1866 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs1508541 SNP was associated with the abundance of Bacteroides (p-value=0.01724). [24]
          rs1489848
             HGF ID HGF1377 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs1489848 SNP was associated with the abundance of Bacteroides (p-value=5.39E-07). [22]
          rs13067391
             HGF ID HGF1546 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs13067391 SNP was associated with the abundance of Bacteroides (p-value=1.21E-07). [22]
          rs12936861
             HGF ID HGF1819 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs12936861 SNP was associated with the abundance of Bacteroides (p-value=3.87E-07). [22]
          rs11868220
             HGF ID HGF2173 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs11868220 SNP was associated with the abundance of Bacteroides (p-value=3.16E-06). [22]
          rs11701867
             HGF ID HGF1245 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs11701867 SNP was associated with the abundance of Bacteroides (p-value=1.84E-07). [22]
          rs11073804
             HGF ID HGF2190 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs11073804 SNP was associated with the abundance of Bacteroides (p-value=6.06E-06). [22]
          rs10928081
             HGF ID HGF1542 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs10928081 SNP was associated with the abundance of Bacteroides (p-value=5.12E-07). [22]
          rs10801316
             HGF ID HGF2294 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs10801316 SNP was associated with the abundance of Bacteroides (p-value=4.73E-07). [22]
          rs10507725
             HGF ID HGF2216 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs10507725 SNP was associated with the abundance of Bacteroides (p-value=4.71E-08). [22]
          rs10501839
             HGF ID HGF1532 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs10501839 SNP was associated with the abundance of Bacteroides (p-value=9.96E-07). [22]
          rs10488566
             HGF ID HGF1995 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs10488566 SNP was associated with the abundance of Bacteroides (p-value=1.49E-05). [22]
          rs10114968
             HGF ID HGF1895 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-IV)
             Description The rs10114968 SNP was associated with the abundance of Bacteroides (p-value=1.44E-06). [22]
          rs571312
             HGF ID HGF2159 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The variant gene MC4R of innate immunity rs571312 is significantly associated with the abundance of gut micriobiota Bacteroidaceae (p-value=0.0010). [26]
          rs11739663
             HGF ID HGF2527 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs11739663 SNP is associated with the abundance of Bacteroides. [27]
          rs921720
             HGF ID HGF2528 HGF Info       Class Single Nucleotide Polymorphism: Intron variant (SNP-UV)
             Description The rs921720 SNP is associated with the abundance of Bacteroides. [27]
          rs1819333
             HGF ID HGF2529 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs1819333 SNP is associated with the abundance of Bacteroides. [27]
          rs10061469
             HGF ID HGF2530 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs10061469 SNP is associated with the abundance of Bacteroides. [27]
          rs7517810
             HGF ID HGF2531 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs7517810 SNP is associated with the abundance of Bacteroides. [27]
          rs6920220
             HGF ID HGF2532 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs6920220 SNP is associated with the abundance of Bacteroides. [27]
          rs12568930
             HGF ID HGF2533 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs12568930 SNP is associated with the abundance of Bacteroides. [27]
          rs26971743
             HGF ID HGF2534 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs26971743 SNP is associated with the heritable variation in Bacteroides abundance. [28]
          rs6314621
             HGF ID HGF2535 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs6314621 SNP is associated with the heritable variation in Bacteroides abundance. [28]
          rs26972849
             HGF ID HGF2536 HGF Info       Class Single Nucleotide Polymorphism (SNP)
             Description The rs26972849 SNP is associated with the heritable variation in Bacteroides abundance. [28]
Host Immune Factors (HIFs)
          C-C motif chemokine 13
             HIF ID HIFM0018 HIF Info       Class Antimicrobial peptide (AMP)
             Description The order of Bacteroidales abundance was correlated with expression of CCL13. [29]
          HD-5(1-9)
             HIF ID HIFM0289 HIF Info       Class Antimicrobial peptide (AMP)
             Description HD-519 treatment could decrease the ralative abundance of the genera Bacteroides. [30]
          Perforin
             HIF ID HIFM0320 HIF Info       Class Antimicrobial peptide (AMP)
             Description The most abundant and stable members of the gut microbiota, Bacteroides spp.produce membrane attack complex/perforin (MACPF) domain pore-forming toxins. [31]
          T-lymphocyte activation antigen CD86
             HIF ID HIFM0055 HIF Info       Class Checkpoint molecule (CM)
             Description The proportions of cells expressing the co-receptors CD86 was associated with the abundance of Bacteroidales. [32]
          Programmed Cell Death 1 Protein
             HIF ID HIFM0191 HIF Info       Class Checkpoint molecule (CM)
             Description The relative abudance of the Bacteroide sp.is effected by PD-1 antibody treatment. [33]
          T-cell immunoreceptor with Ig and ITIM domains
             HIF ID HIFM0214 HIF Info       Class Checkpoint molecule (CM)
             Description The expression of co-receptors TIGIT was associated with Bacteroidales. [32]
          Tumor necrosis factor receptor superfamily member 4
             HIF ID HIFM0231 HIF Info       Class Checkpoint molecule (CM)
             Description The proportions of cells expressing the co-receptors OX40 was associated with Bacteroidales. [34]
          Tumor necrosis factor receptor superfamily member 9
             HIF ID HIFM0233 HIF Info       Class Checkpoint molecule (CM)
             Description The abundance of Bacteroides is associated with 4-1BB. [35]
          Tumor necrosis factor receptor superfamily member 5
             HIF ID HIFM0232 HIF Info       Class Checkpoint molecule (CM)
             Description The proportions of cells expressing the co-receptors CD86 was associated with Bacteroidales. [32]
          Interferon-2
             HIF ID HIFM0141 HIF Info       Class Cytokine (Cyt)
             Description Bacteroidaceae is associated with IL-2 expression. [36]
          Interferon-6
             HIF ID HIFM0151 HIF Info       Class Cytokine (Cyt)
             Description Bacteroidaceae is associated with IL-6 expression. [36]
          Tumor necrosis factor
             HIF ID HIFM0226 HIF Info       Class Cytokine (Cyt)
             Description The abundance of Bacteroidaceae was associated with the level of TNF-Alpha. [36]
          Interferon gamma
             HIF ID HIFM0260 HIF Info       Class Cytokine (Cyt)
             Description The abundance of Bacteroidaceae was associated with the level of IFN-Gamma. [36]
          Immunoglobulin E
             HIF ID HIFM0271 HIF Info       Class Immunoglobulin (Ig)
             Description Bacteroidales consortium could suppress IgE binding to the fecal bacteria of treated FA Il4raF709 mice. [37]
          Immunoglobulin A
             HIF ID HIFM0272 HIF Info       Class Immunoglobulin (Ig)
             Description Bacteroides was significantly enriched in the IgA(Low or no IgA binding) consortia. [38]
          Immunoglobulin A2
             HIF ID HIFM0276 HIF Info       Class Immunoglobulin (Ig)
             Description Bacteroides could be preferentially recognized by IgA2 in the stool samples. [39]
          CD16+ Natural Killer cells
             HIF ID HIFC0094 HIF Info       Class Natural killer cells (NKCs)
             Description The increased proportion of CD16+ NK cells was associated with the decrease of gut commensal bacteria(Bacteroides). [40]
          Retinoic acid-related orphan receptor t
             HIF ID HIFM0248 HIF Info       Class Retinoic acid receptor (RAR)
             Description Commensals of the order Clostridiales and Bacteroidales drive the differentiation of induced Treg (iTreg) cells expressing the transcription factor RORGammat. [41]
          Myeloid differentiation primary response 88 signaling pathway
             HIF ID HIFP0026 HIF Info       Class Signaling pathway (SP)
             Description Clostridiales and Bacteroidales orders act to induce the transcription factor RORGammat in nascent Treg cells via an upstream MyD88-dependent mechanism to promote tolerance to dietary antigens. [41]
          Regulatory T cells
             HIF ID HIFC0030 HIF Info       Class T cells (TCs)
             Description Bacteroidales induced the transcription factor RORt in nascent Treg cells. [41]
          RORt+ regulatory T cells
             HIF ID HIFC0038 HIF Info       Class T cells (TCs)
             Description Bacteroidales plays an important role in nascent Treg cells that gives rise to disease-suppressing ROR-t+ Treg cells. [37]
          CD3+CD4+ T cells
             HIF ID HIFC0065 HIF Info       Class T cells (TCs)
             Description Enterotoxigenic Bacteroides fragilis can rapidly induce infiltration of the colonic lamina propria with IL-17-producing CD3+CD4+ T-cells. [42]
          CD3+CD4+ T cells
             HIF ID HIFC0066 HIF Info       Class T cells (TCs)
             Description Enterotoxigenic Bacteroides fragilis can rapidly induce infiltration of the colonic lamina propria with IL-17-producing CD3+CD4 GammaDelte-T-cells. [42]
          Foxp3+CD45RA regulatory T cells
             HIF ID HIFC0184 HIF Info       Class T cells (TCs)
             Description The abundance of Bacteroides increased in the patients with clearly high distribution of FOXp3highCD45RA Tregs. [43]
          T-cell surface glycoprotein CD4
             HIF ID HIFM0050 HIF Info       Class T-cell receptor (TCR)
             Description The stool of HIV-infected patients with high CD4 counts were enriched for traditional gastrointestinal genera Bacteroides(false discovery rate q < 0.05, read difference 100 reads, and presence in 50%). [44]
Environmental Factor(s)
             Disbiome ID
      36
             gutMDisorder ID
      gm0077
References
1 p-Cresyl Sulfate. Toxins (Basel). 2017 Jan 29;9(2):52. doi: 10.3390/toxins9020052.
2 Debugging the intestinal microbiota in IBD. Gastroenterol Clin Biol. 2009 Jun;33 Suppl 3:S131-6. doi: 10.1016/S0399-8320(09)73148-3.
3 Effects of a vinegar-based multi-micronutrient supplement in rats: a multi-pronged assessment of dietary impact. J Funct Foods. 2018 Mar;42:371-378. doi: 10.1016/j.jff.2018.01.023. Epub 2018 Feb 3.
4 Characterization of adherent bacteroidales from intestinal biopsies of children and young adults with inflammatory bowel disease. PLoS One. 2013 Jun 11;8(6):e63686. doi: 10.1371/journal.pone.0063686. Print 2013.
5 Alterations of Bacteroides sp., Neisseria sp., Actinomyces sp., and Streptococcus sp. populations in the oropharyngeal microbiome are associated with liver cirrhosis and pneumonia. BMC Infect Dis. 2015 Jun 23;15:239. doi: 10.1186/s12879-015-0977-x.
6 Profiles of Microbial Fatty Acids in the Human Metabolome are Disease-Specific. Front Microbiol. 2011 Jan 20;1:148. doi: 10.3389/fmicb.2010.00148. eCollection 2010.
7 Ulcerative colitis and irritable bowel patients exhibit distinct abnormalities of the gut microbiota. BMC Gastroenterol. 2010 Nov 12;10:134. doi: 10.1186/1471-230X-10-134.
8 Nod2 and Nod2-regulated microbiota protect BALB/c mice from diet-induced obesity and metabolic dysfunction.Sci Rep. 2017 Apr 3;7(1):548. doi: 10.1038/s41598-017-00484-2.
9 Human Salivary Amylase Gene Copy Number Impacts Oral and Gut Microbiomes.Cell Host Microbe. 2019 Apr 10;25(4):553-564.e7. doi: 10.1016/j.chom.2019.03.001.
10 Middle ear microbiome differences in indigenous Filipinos with chronic otitis media due to a duplication in the A2ML1 gene.Infect Dis Poverty. 2016 Nov 1;5(1):97. doi: 10.1186/s40249-016-0189-7.
11 -Klotho deficiency protects against obesity through a crosstalk between liver, microbiota, and brown adipose tissue.JCI Insight. 2017 Apr 20;2(8):e91809. doi: 10.1172/jci.insight.91809. eCollection 2017 Apr 20.
12 Current understanding of the gut microbiota shaping mechanisms.J Biomed Sci. 2019 Aug 21;26(1):59. doi: 10.1186/s12929-019-0554-5.
13 Association of gut microbiota composition and copy number variation with Kasai procedure outcomes in infants with biliary atresia.Pediatr Neonatol. 2020 Apr;61(2):238-240. doi: 10.1016/j.pedneo.2019.12.011. Epub 2020 Jan 7.
14 Vitamin D receptor promotes healthy microbial metabolites and microbiome.Sci Rep. 2020 Apr 30;10(1):7340. doi: 10.1038/s41598-020-64226-7.
15 Rhythmicity of the intestinal microbiota is regulated by gender and the host circadian clock.Proc Natl Acad Sci U S A. 2015 Aug 18;112(33):10479-84. doi: 10.1073/pnas.1501305112. Epub 2015 Aug 3.
16 Hypochlorhydria reduces mortality in heart failure caused by Kcne2 gene deletion.FASEB J. 2020 Jun 25. doi: 10.1096/fj.202000013RR. Online ahead of print.
17 Impact of PepT1 deletion on microbiota composition and colitis requires multiple generations.NPJ Biofilms Microbiomes. 2020 Jul 21;6(1):27. doi: 10.1038/s41522-020-0137-y.
18 Gut microbiota from NLRP3-deficient mice ameliorates depressive-like behaviors by regulating astrocyte dysfunction via circHIPK2.Microbiome. 2019 Aug 22;7(1):116. doi: 10.1186/s40168-019-0733-3.
19 Nlrp6- and ASC-Dependent Inflammasomes Do Not Shape the Commensal Gut Microbiota Composition.Immunity. 2017 Aug 15;47(2):339-348.e4. doi: 10.1016/j.immuni.2017.07.011. Epub 2017 Aug 8.
20 Complementarity and redundancy of IL-22-producing innate lymphoid cells.Nat Immunol. 2016 Feb;17(2):179-86. doi: 10.1038/ni.3332. Epub 2015 Nov 30.
21 Interactions between the MicroRNAs and Microbiota in Cancer Development: Roles and Therapeutic Opportunities. Allegra A, Musolino C, Tonacci A, Pioggia G, Gangemi S.. Cancers (Basel). 2020 Mar 27;12(4):805. doi: 10.3390/cancers12040805.
22 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.
23 Genetic association of Toll-like receptor 4 with cervical cytokine concentrations during pregnancy.Genes Immun. 2009 Oct;10(7):636-40. doi: 10.1038/gene.2009.47. Epub 2009 Jun 25.
24 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.
25 Host genetic variation impacts microbiome composition across human body sites.Genome Biol. 2015 Sep 15;16(1):191. doi: 10.1186/s13059-015-0759-1.
26 Variants in genes of innate immunity, appetite control and energy metabolism are associated with host cardiometabolic health and gut microbiota composition.Gut Microbes. 2020 May 3;11(3):556-568. doi: 10.1080/19490976.2019.1619440. Epub 2019 Jun 3.
27 A Microbe Associated with Sleep Revealed by a Novel Systems Genetic Analysis of the Microbiome in Collaborative Cross Mice. Genetics. 2020 Mar;214(3):719-733. doi: 10.1534/genetics.119.303013. Epub 2020 Jan 2.
28 Complex host genetics influence the microbiome in inflammatory bowel disease. Genome Med. 2014 Dec 2;6(12):107. doi: 10.1186/s13073-014-0107-1. eCollection 2014.
29 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.
30 Paneth cell -defensins HD-5 and HD-6 display differential degradation into active antimicrobial fragments.Proc Natl Acad Sci U S A. 2019 Feb 26;116(9):3746-3751. doi: 10.1073/pnas.1817376116. Epub 2019 Feb 11.
31 Bacterial antagonism in host-associated microbial communities.Science. 2018 Sep 21;361(6408):eaat2456. doi: 10.1126/science.aat2456.
32 Exopolysaccharide Produced by Lactobacillus Plantarum Induces Maturation of Dendritic Cells in BALB/c Mice.PLoS One. 2015 Nov 24;10(11):e0143743. doi: 10.1371/journal.pone.0143743. eCollection 2015.
33 Gut Microbiome Influences the Efficacy of PD-1 Antibody Immunotherapy on MSS-Type Colorectal Cancer via Metabolic Pathway.Front Microbiol. 2020 Apr 30;11:814. doi: 10.3389/fmicb.2020.00814. eCollection 2020.
34 Pembrolizumab for anaplastic thyroid cancer: a case study.Cancer Immunol Immunother. 2019 Dec;68(12):1921-1934. doi: 10.1007/s00262-019-02416-7. Epub 2019 Oct 22.
35 Microbiome Dependent Regulation of T(regs) and Th17 Cells in Mucosa.Front Immunol. 2019 Mar 8;10:426. doi: 10.3389/fimmu.2019.00426. eCollection 2019.
36 Treatment with Subcritical Water-Hydrolyzed Citrus Pectin Ameliorated Cyclophosphamide-Induced Immunosuppression and Modulated Gut Microbiota Composition in ICR Mice. Molecules. 2020 Mar 12;25(6):1302. doi: 10.3390/molecules25061302.
37 Microbiota therapy acts via a regulatory T cell MyD88/RORt pathway to suppress food allergy. Nat Med. 2019 Jul;25(7):1164-1174. doi: 10.1038/s41591-019-0461-z. Epub 2019 Jun 24.
38 IgA Function in Relation to the Intestinal Microbiota.Annu Rev Immunol. 2018 Apr 26;36:359-381. doi: 10.1146/annurev-immunol-042617-053238. Epub 2018 Jan 26.
39 Human IgA binds a diverse array of commensal bacteria.J Exp Med. 2020 Mar 2;217(3):e20181635. doi: 10.1084/jem.20181635.
40 Dysbiosis of gut microbiome affecting small intestine morphology and immune balance: a rhesus macaque model.Zool Res. 2020 Jan 18;41(1):20-31. doi: 10.24272/j.issn.2095-8137.2020.004.
41 Regulation of oral immune tolerance by the microbiome in food allergy. Curr Opin Immunol. 2019 Oct;60:141-147. doi: 10.1016/j.coi.2019.06.001. Epub 2019 Jul 11.
42 Bacteroides spp. and diarrhea. Curr Opin Infect Dis. 2010 Oct;23(5):470-4. doi: 10.1097/QCO.0b013e32833da1eb.
43 Characterization of tumor-infiltrating immune cells in relation to microbiota in colorectal cancers. Cancer Immunol Immunother. 2020 Jan;69(1):23-32. doi: 10.1007/s00262-019-02433-6. Epub 2019 Nov 26.
44 Gut microbiota in HIV-pneumonia patients is related to peripheral CD4 counts, lung microbiota, and in vitro macrophage dysfunction. Microbiome. 2019 Mar 11;7(1):37. doi: 10.1186/s40168-019-0651-4.

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