Fig. 2. Associations between bacterial taxa abundance ascertained by fecal shotgun metagenomic sequencing and the fecal metabolome in healthy pediatric.

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Deep Sequencing of Patient Genomes for Disease Diagnosis: When Will It Become Routine? by Stephen F. Kingsmore, and Carol J. Saunders Sci Transl Med Volume.
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Fig. 1 CSF1 is increased in blood of melanoma patients and correlates with disease progression. CSF1 is increased in blood of melanoma patients and correlates.
Volume 18, Issue 4, Pages (October 2015)
Fig. 1. NS1 protein alignment and linear epitope mapping of the 10 antibodies used to run the DENV serotype–specific NS1 rapid tests, pan-DENV NS1 test,
Fig. 4. Primary human metastatic melanomas contain CCL21-expressing LECs, and expression of VEGFC positively correlates with hallmarks of tumor inflammation.
Fig. 7. Intrapatient variation in key contact signatures for PGDM1400 and PGT121. Intrapatient variation in key contact signatures for PGDM1400 and PGT121.
Microbiome differences in disease severity and stable or exacerbation visits. Microbiome differences in disease severity and stable or exacerbation visits.
Fig. 5. Correlation between CD34+CD45RA−CD90+ cell dose, engraftment success, and onset of neutrophil/platelet recovery in nonhuman primates. Correlation.
Fig. 4. BET bromodomain inhibition suppresses transactivation of shared transcriptional networks across HF models. BET bromodomain inhibition suppresses.
Transfer of miR-223 during neutrophil-epithelial cell interactions
Fig. 5. Circulating PPi concentration does not correlate with severity of calcification phenotype in mice. Circulating PPi concentration does not correlate.
Fig. 2. Interaction between upward and forward forces during standing and walking. Interaction between upward and forward forces during standing and walking.
Fig. 3 Urinary LAM concentration predicted pulmonary TB and correlated to mycobacterial burden and weight loss. Urinary LAM concentration predicted pulmonary.
Fig. 3. Structure of ALS-associated RNA binding proteins.
Fig. 4 Bacterial taxonomic groups that discriminate among RYGB-, SHAM-, and WMS-derived samples. Bacterial taxonomic groups that discriminate among RYGB-,
Fig. 3. Antimicrobial activity is detected in diverse strains of CoNS and not predictable at the species level. Antimicrobial activity is detected in diverse.
Fig. 5. Correlation of tail and long bone growth velocities with Cxm serum concentrations in mice. Correlation of tail and long bone growth velocities.
Fig. 1. The effect of dietary micronutrient deficiency on the configuration of a defined human gut microbiota established in gnotobiotic mice. The effect.
Fig. 4. Liver HBV mRNA paired-end sequencing reads in HBeAg-positive and HBeAg-negative chimpanzees. Liver HBV mRNA paired-end sequencing reads in HBeAg-positive.
Figure 3 Statistical approaches for the analysis of metabolomic data
Fig. 4. Specific antibiotics reduce fecal biomass in mice and humans.
Fig. 4. Validation of MGA algorithm in individuals with SCI or stroke.
Fig. 5. Performance of the MGA to enable or enhance locomotor control after SCI. Performance of the MGA to enable or enhance locomotor control after SCI.
Fig. 1. Associations between fecal amino acids and their derivatives with disease in pediatric patients with Crohn’s disease compared to healthy subjects.
Fig. 1 Crohn’s disease association within the LRRK2 locus.
Fig. 2 TLR8 is aberrantly expressed on pDCs from SSc patients.
Fig. 3. Frequencies of amino acids at critical PGT121 and contact sites in the SHIV-SF162P3 challenge stock. Frequencies of amino acids at critical.
Fig. 3. 3RMR response to graded ischemia ex vivo.
Fig. 1. Bacterial communities shift during AD disease progression.
Fig. 2. GPC3 expression in normal and tumor tissues.
Increased ADMA in pregnancy is associated with SGA birth outcomes
Fig. 6. Effects of CD31-NP targeting in perfused human kidneys.
Fig. 5. Vascularization of human liver seed grafts.
Fig. 5 Analysis of metabolite changes in M
Fig. 5. In vivo characterization of adipogenesis by CT.
Fig. 4. MATE1 transcription in RCC.
Bacterial biomarkers associated with disease severity.
Fig. 2. Best model fits. Best model fits. Illustration of the best model fits for the (A) basic, (B) continuous, and (C) cluster models. See Table 1 and.
Fig. 6. Performance of the MGA to enable or enhance locomotor control after stroke. Performance of the MGA to enable or enhance locomotor control after.
Fig. 7 Human study design for device testing.
Fig. 3. Recovery of AVP-deficient rats from anemia induced by sublethal irradiation. Recovery of AVP-deficient rats from anemia induced by sublethal irradiation.
Fig. 7. Gait training session overground with MGA or on a treadmill with upward support. Gait training session overground with MGA or on a treadmill with.
Fig. 3. The effects of DCA on hemodynamic and functional end points and their association with genetic factors (variants of the SIRT3 and UCP2 genes) that.
Fig. 1. Map showing the study catchment area in the East of England.
Fig. 7 CSPG4-high GBMs show more microglia than CSPG4-low GBMs and express TNFα. CSPG4-high GBMs show more microglia than CSPG4-low GBMs and express TNFα.
Fig. 1 A single amino acid difference in the ATP-binding domain of GSK3α and GSK3β results in structural and topological differences. A single amino acid.
Fig. 1 Effect of preinfection β7Hi CD45RA−CD4+ T cell frequency on HIV acquisition risk in CAPRISA 004 study. Effect of preinfection β7Hi CD45RA−CD4+ T.
Fig. 2 Genotype-induced differential gene expression is different in MDMi cells compared to monocytes. Genotype-induced differential gene expression is.
Fig. 4. The effect of single-dose rozanolixizumab on the concentration of IgG subtypes in healthy subjects. The effect of single-dose rozanolixizumab on.
Fig. 6. Analysis of SHIV-325c V1V2 envelope sequences in breakthrough infections. Analysis of SHIV-325c V1V2 envelope sequences in breakthrough infections.
Decreased weight and adiposity is transmissible via the gut microbiota
Metabolite predictability is consistent between vaginal and mouse cecal data sets. Metabolite predictability is consistent between vaginal and mouse cecal.
Fig. 7 Vaccine-induced influenza-specific B cells are not maintained in peripheral blood. Vaccine-induced influenza-specific B cells are not maintained.
Vaccination induces activation of cTFH cells and transient ASCs
IIV induces CD21hiCD27+ and CD21loCD27+ influenza-specific B cells
Fig. 4 cTFH1 cells correlate with a boosting of influenza-specific memory B cells. cTFH1 cells correlate with a boosting of influenza-specific memory B.
Spearman correlation of normalized relative abundances between MAGs from TBE6 and taxa in the epilimnion of the environment of origin (Trout Bog Lake).
RNA abundance correlates with fitness.
Fig. 2 Ro60 commensal bacteria are common among lupus and healthy subjects without overt dysbiosis of the fecal, oral, or skin microbiome. Ro60 commensal.
mtDNA genotypes correlate with gut microbiota composition.
Heatmap showing Spearman’s rho values for significant correlations between weed abundances and bacterial classes (i.e., OTU data pooled at the class level;
The correlation network constructed using the identified metagenomic species (MGS), metabolic parameters (including TGs, TC, and FPG), SCFAs (including.
Spearman’s correlation analysis of microbiota and NMR spectra of the control and ciprofloxacin groups (A, C) or the vancomycin-imipenem group (B, D) after.
Linear regression analyses of the correlation of the BBBP factors (Ktrans and Ve) with CBF using all brain regions for patients with SLE. Patients with.
Fig. 1 Crohn’s disease association within the LRRK2 locus.
Fig. 1. Dysbiosis of the skin microbiome in AD is associated with S
Comparison of 16S sequencing and shallow shotgun recovery of species-level taxa. Comparison of 16S sequencing and shallow shotgun recovery of species-level.
Association between genome size and the dN/dS ratio for archaeal (A; n = 21) and bacterial (B; n = 28) genome pairs and association between coding density.
Fig. 8 Immune correlates of protection.
Fig. 3 Postnatal assembly of the humanized gut microbiota.
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Fig. 2. Associations between bacterial taxa abundance ascertained by fecal shotgun metagenomic sequencing and the fecal metabolome in healthy pediatric subjects and those with Crohn’s disease. Associations between bacterial taxa abundance ascertained by fecal shotgun metagenomic sequencing and the fecal metabolome in healthy pediatric subjects and those with Crohn’s disease. Spearman rank correlation with the direction and strength of association indicated by the color index in the figure. Only metabolites classified as amino acids and their derivatives are shown. Statistically significant correlations after adjusting for healthy and disease status (FDR < 0.01 based on linear regression analyses) are indicated by an asterisk (*). Taxa belonging to the Proteobacteria phylum are indicated with a plus sign (+). Josephine Ni et al., Sci Transl Med 2017;9:eaah6888 Published by AAAS