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ORIGINAL ARTICLE

Lower airway microbiome and metabolomic profiles of recurrent wheezing in infants: a case-control study

Jiebin Chen, Sainan Chen, Huiquan Sun, Yuqing Wang *

Department of Respiratory Medicine, Children’s Hospital of Soochow University, Suzhou, Jiangsu, China

Abstract

Objectives: To characterize the microbiome shifts and subsequent metabolite alterations associated with recurrent wheezing (RW) in infants.

Methods: A total of 33 subjects were enrolled in this study, including 18 infants diagnosed with RW, and 15 normal infants as controls. Bronchoalveolar lavage (BAL) fluid was collected from all the subjects. Bacterial DNA was then isolated and analyzed by 16S ribosomal RNA sequencing. In addition, the metabolomic profile of BAL fluid samples was analyzed with mass spectrometry using complementary chromatographic methods. Spearman’s rank correlation analysis was conducted to explore associations between microbial taxa and metabolites.

Results: The study had 21 (63.6%) boys and 12 (36.4%) girls. The mean age was 26.8 ± 4.9 months. Haemophilus (P = 0.003) and Porphyromonas (P = 0.007) genera showed significant difference between the two groups. The metabolites of “starch and sucrose metabolism pathway” and “pentose phosphate pathway” showed significant correlations with the two bacterial genera. For starch and sucrose metabolism pathway, glucose-6-phosphate showed significant positive correlations with Haemophilus (r = 0.44 and P = 0.009) and Porphyromonas (r = 0.45 and P = 0.008). For pentose phosphate pathway, Sedoheptulose 7-phosphate, an intermediate in the pentose phosphate pathway, showed significantly positive correlations with Haemophilus (r = 0.42 and P = 0.02) and Porphyromonas (r = 0.43 and P = 0.01).

Conclusions: Our study provided new evidence that alteration in respiratory tract microbiome could be associated with RW in infants. By elucidating the microbiome and metabolite profile, we identified novel biomarkers potentially useful for personalized management of RW in infants. The future studies should validate the underlying mechanisms in longitudinal cohorts and explore interventions targeting metabolic–microbial crosstalk.

Key words: lower airway, metabolomics, microbiome, recurrent wheezing

*Corresponding author: Yuqing Wang, Department of Respiratory Medicine, Children’s Hospital of Soochow University, Jingde Road No. 303, Suzhou, Jiangsu 215003, China. Email address: [email protected]

Received 3 June 2025; Accepted 1 August 2025; Available online 1 May 2026

DOI: 10.15586/aei.v54i3.1433

Copyright: Chen J, et al.
This open access article is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/

Introduction

Recurrent wheezing (RW) in infants is defined as three or more episodes of wheezing within a period of 12 months, typically occurring in children aged <3 years.1 It is a heterogeneous condition characterized by high-pitched expiratory breathing sounds because of narrowed or inflamed small airways. Epidemiologically, RW affects 5–10% of preschool-aged children globally, with higher prevalence in urbanized regions and low-income populations because of environmental exposures.2,3 Unlike transient viral-induced wheezing, this condition persists beyond infancy and is strongly linked to subsequent development of asthma.4 Longitudinal studies indicate that 30% of the affected children progress to asthma by adolescence, contributing to long-term pulmonary dysfunction and increased healthcare costs.5 It is therefore important to elucidate the etiology of RW for risk stratification and early intervention.

Recent etiological studies have highlighted that RW in infants arises from the interplay of environmental triggers, genetic predisposition, and immune dysregulation.6–8 Environmental factors, such as early-life viral infections, air pollution, and microbiome disruptions, may further modulate immune responses, particularly in genetically vulnerable individuals.9,10 Despite extensive research, the etiology of RW in infants remains elusive. Multidisciplinary approaches integrating multi-omics and longitudinal cohorts are essential to unravel causal pathways and identify actionable therapeutic targets.

Bacterial diversity in the respiratory tract is critical for maintaining immune homeostasis, as commensal microbes regulate epithelial barrier integrity, and modulate inflammatory responses and prime adaptive immunity through metabolite-mediated signaling.11 Disruption in microbial equilibrium is implicated in the pathogenesis of allergic diseases and asthma. Reduced diversity and dominance of proteobacterial taxa were reported to be implicated in airway inflammation and hyperreactivity.12,13 Despite these advances, the composition and functional dynamics of the lower airway microbiome in infants with RW remain poorly understood. In this study, we addressed these gaps by characterizing the lower airway microbiome and metabolomics profile in infants with RW using 16S ribosomal RNA (rRNA) sequencing and untargeted metabolomics. We aimed to characterize the microbiome shifts and subsequent metabolite alterations associated with RW in infants.

Methods

Subjects

This is a prospective study approved by the Ethics Review Board of Children’s Hospital of Soochow University (#2023CS038). We included 15 infants diagnosed with RW at our center between January 2018 and December 2022. Written informed consent was obtained from the guardians of all included participants. The following inclusion criteria were adopted: (1) diagnosed with wheezing by an experienced pediatric pulmonology physician; (2) aged between 12 and 36 months; (3) occurrence of wheezing for more than three times in the past year; and (4) no history of administration of inhaled corticosteroids or antibiotics in the past 2 weeks. In addition, 18 age-matched infants who underwent bronchoscopy because of aspiration of a foreign body were recruited as controls. Subjects with known diagnosis of lung disease, dysfunctional breathing, bronchopulmonary dysplasia, cystic fibrosis, or other acute illness were excluded from the study.

Collection of bronchoalveolar lavage (BAL) fluid

Bronchoalveolar lavage fluid was collected under sterile conditions via flexible bronchoscopy performed under general anesthesia to minimize contamination. By following standardized protocols, the bronchoscope was advanced to the subsegmental bronchus, and three aliquots of sterile saline (1–2 mL/kg per aliquot) were instilled and immediately aspirated, with the first aliquot discarded to reduce upper airway contamination. The retrieved BAL fluid was placed on ice and processed within 30 min to preserve microbial integrity. Samples were centrifuged (4°C, 10 min, 500 ×g) to pellet cellular debris, and the supernatant was aliquoted and stored at -80°C until further detection.

Bacterial DNA isolation and 16S rRNA sequencing

For microbiome profiling, DNA was extracted from the pellet using a validated microbial DNA isolation kit (Qiagen DNeasy PowerSoil Pro kit, Qiagen Inc., Hilden, Germany), incorporating mechanical lysis (bead-beating) to disrupt tough microbial cell walls. Extracted DNA underwent 16S rRNA gene amplification (V3–V4 hypervariable regions) via polymerase chain reaction (PCR), followed by high-throughput sequencing (Illumina MiSeq platforms).11 Negative controls (sterile saline processed identically) were included to account for environmental or reagent contamination.

Paired-end reads were assigned to samples using unique barcodes, followed by truncation of barcode and primer sequences. The trimmed reads were merged with Fast Length Adjustment of Short Reads (FLASH, v1.2.7) to generate raw tags. Demultiplexing and subsequent processing were performed in Quantitative Insights into Microbial Ecology (QIIME) (V1.9.1), where sequence errors were corrected via Deficiency of Adenosine Deaminase 2 (DADA2). A phylogenetic tree was constructed to support phylogenetic diversity analyses. Taxonomic classification was conducted using the SILVA database. The alpha diversity index between groups was analyzed using the R software (Wilcoxon test). Beta diversity was evaluated using weighted and unweighted UniFrac distances, visualized through principal coordinates analysis (PCoA) to illustrate sample clustering. Finally, linear discriminant analysis (LDA) effect size (LEfSe) was applied to identify taxonomy exhibiting significant differences both statistically and biologically.

Metabolomics detection and analysis

For untargeted metabolomics analysis, thawed BAL supernatant was extracted using cold methanol acetonitrile water. After centrifugation (14,000 ×g, 15 min, 4°C), the supernatant was analyzed via liquid chromatography tandem with mass spectrometry (LC-MS) using complementary chromatographic methods as reported previously. High-resolution mass spectrometry (HRMS) was performed in both positive and negative ion modes to maximize metabolite coverage. Raw data were processed using the XCMS software for peak detection, alignment, and noise reduction. Metabolites were annotated with spectral libraries (METLIN) and the functional pathways were annotated using Kyoto Encyclopedia of Genes and Genomes (KEGG).14

Statistical analysis

Statistical analysis was performed using the R software (v4.0.2). Characteristics of the study population were analyzed using the Chi-square test and t-test. Differences in bacterial diversity and relative abundance between the two groups were assessed by the Wilcoxon rank-sum test, with a false discovery rate (FDR) of 5%. Metabolomic data were log-transformed prior to analysis. Multivariate analyses were applied to illustrate differences in samples, including orthogonal partial least squares discriminant analysis (OPLS-DA). Spearman’s rank correlation analysis was conducted to explore associations between microbial taxa and metabolites. All P values were two-tailed, and statistical significance was defined as P < 0.05. Specifically, for LEfSe analysis, LDA > 3.0 and P < 0.05 were considered as statistically significant. For metabolomics, differentially expressed metabolites were based on P < 0.05 from Student’s t-test, and variable importance in projection (VIP) > 1 because of OPLS-DA.

Results

Characteristics of study population

A total of 33 subjects were enrolled in this study, including 18 infants with RW, and 15 infants as controls. There were 21 (63.6%) boys and 12 (36.4%) girls. The mean age was 26.8 ± 4.9 months. All children were from Han population. The baseline characteristics of each group are summarized in Table 1. Patients were found to have higher eosinophil count than the controls with statistical significance (P = 0.001). There was no significant difference in terms of age, gender, body mass index (BMI), and blood WBC and neutrophil counts between the two groups.

Table 1 The baseline characteristics of subjects.

Recurrent wheezing (RW) group (n = 18) Control group (n = 15) P
Age (month) 25.3 ± 4.6 27.5 ± 5.7 0.22
Gender (M/F) 11/7 10/5 0.97
BMI (kg/m2) 13.7 ± 2.1 14.1 ± 2.3 0.61
WBC counts (×109/L) 6.5 ± 3.5 5.7 ± 3.8 0.53
Neutrophils (%) 62.1 ± 18.6 71.3 ± 20.4 0.19
Eosinophils (%) 7.5 ± 3.1 3.2 ± 2.5 0.001

Note: BMI: body mass index; WBC: white blood cells.

Diversity in lower airway microbiome

The characteristics of lower airway bacteria in the patients and the controls are shown in Figures 1A and 1B. The Chao1 (richness; P = 0.07) and Simpson (dominance; P = 0.08) indices showed no significant differences between the two groups, which indicated relatively similar bacterial richness and alpha diversity in both groups. The PCoA was performed using weighted UniFrace distance, and Analysis of Similarities (ANOSIM) was performed to evaluate differences between both groups. PCoA and ANOSIM results suggested significant differences in beta diversity between two groups (P = 0.023; Figures 1C and 1D).

Figure 1 Characteristics of the lower airway microbiome. The (A) Chao1 (P = 0.07) and (B) Simpson (P = 0.08) indices indicated similar bacterial richness and alpha diversity in both groups (C) the PCoA plot based on unweighted UniFrac distance and (D) ANOSIM results based on weighted Unifrac showed significant difference in beta diversity between the two groups (P = 0.023).

Distribution of taxa at phylum and genus levels

The sequenced data were analyzed according to 35 phyla. The relative abundance of top 10 phyla is shown in Figure 2A. Proteobacteria, Firmicutes, Bacteroidetes, and Actinobacteria were the dominant phyla of bacteria in all samples. Bacteroidota (P = 0.008) and Fusobacteriota (P= 0.01) showed significant difference between the two groups. Figure 2B shows the relative abundance of top 20 genus between the two groups. Haemophilus (P = 0.003) and Porphyromonas (P = 0.007) genera showed significant differences between the two groups.

The LEfSe analysis was performed to identify differences in the composition of bacterial taxa between the two groups. With LDA scores > 3.0, differentially expressed bacteria were identified, some of which were highly abundant in RW infants. Notably, genera Haemophilus and Porphyromonas were significantly abundant in RW infants (P < 0.05; Figures 2C and 2D).

Figure 2 The distribution of taxa at phylum and genus levels. Composition of microbiome at (A) phylum level and (B) genus level. At phylum level, Bacteroidota (P = 0.008) and Fusobacteriota (P=0.01) showed significant difference between the two groups. At genus level, Haemophilus (P = 0.003) and Porphyromonas (P = 0.007) showed significant difference between the two groups. The height of bars represents relative abundance. (C) Bacterial taxa differentially abundant are visualized using a cladogram, with the size of each node indicating relative abundance; (D) with LDA scores > 3.0, the graph of LEfSe distinguishes the microbial communities of each group. Genera Haemophilus and Porphyromonas were significantly abundant in RW infants (P < 0.05).

Characteristics of lower airway metabolomics

The OPLS-DA result suggested significant differences between the two groups (Figure 3A), with permutation test confirming OPLS-DA model (Figure 3B). Using Student’s t-test (P < 0.05) and VIP > 1 because of OPLS-DA, we identified 256 significantly differentially expressed metabolites, which were predominantly lipids as shown in the heatmap (Figure 3C). Among all the differentially expressed metabolites, 50 were up-regulated and 206 were down-regulated (Figure 3D). Metabolic pathway analyses were then performed to reveal the relationship between differentially expressed metabolites and known metabolic pathways. In all, 20 pathways were significantly impacted in RW infants (Figure 3E). The pathway “glycine, serine and threonine metabolism” was the most significantly impacted in RW infants, followed by “pentose phosphate pathway (PPP)” and “starch and sucrose metabolism pathway” (Figure 3F).

Figure 3 Characteristics of lower airway metabolomics. (A) The OPLS-DA results from all plasma metabolites demonstrated the discriminatory ability of metabolite profiles for both groups; (B) the OPLS-DA model was successfully confirmed with permutation test; (C) heatmap of significant metabolites which differed between the two groups: with higher concentrations, shown in red, and with lower concentrations, shown in blue; (D) volcano plots are displayed, with downregulated and upregulated metabolites shown in blue and red, respectively; (E) KEGG pathway analysis revealed a total of 20 pathways, which were significantly impacted in RW infants; (F) pathway impact represented relative importance of the identified metabolites in the pathway, with larger circles indicating more important pathway impact.

Correlation between lower airway microbiome and metabolites

To investigate the relationship between altered microbiome and altered metabolites, we analyzed the correlations between altered genera and altered metabolites using the Spearman’s rank correlation analysis. As summarized in Figure 4, we discovered that the metabolites of starch and sucrose metabolism pathway and PPP showed significant correlations, with the two microbes highly abundant in RW infants (Tables S1 and S2). For starch and sucrose metabolism pathway, glucose-6-phosphate (G6P) showed significantly positive correlations with Haemophilus (r = 0.44 and P = 0.009) and Porphyromonas (r = 0.45 and P = 0.008). For PPP, sedoheptulose 7-phosphate (S7P), an intermediate in the pentose phosphate pathway, showed significantly positive correlations with Haemophilus (r = 0.42 and P = 0.02) and Porphyromonas (r = 0.43 and P = 0.01).

Figure 4 Spearman’s rank correlation analysis for significantly altered metabolites and genera. The metabolites of starch and sucrose metabolism pathway and pentose phosphate pathway (PPP) showed significant correlations with the microbes highly abundant in RW infants. For starch and sucrose metabolism pathway, glucose-6-phosphate (G6P) showed significantly positive correlations with Haemophilus (r = 0.44 and P = 0.009) and Porphyromonas (r = 0.45 and P = 0.008). For PPP, sedoheptulose 7-phosphate (S7P) showed significantly positive correlations with Haemophilus (r = 0.42 and P = 0.02) and Porphyromonas (r = 0.43 and P = 0.01).

Discussion

The pathological mechanism of RW in infants has not been fully elucidated. Recent studies have shown that the human lower airway microbiome could be an etiological factor of various diseases.15–17 Variation of lower airway bacterial diversity is discovered as closely associated with respiratory diseases, such as asthma and cystic fibrosis.18,19 Tang et al.20 investigated the bronchial bacterial microbiome of infants with RW and reported significant differences in diversity in patients, compared to controls. In this study, for the first time, we combined 16S amplicon sequencing and untargeted metabolomics analysis to explore the association of lower airway microbiome with RW. We discovered that RW infants shared some alterations in lower airway microbes and microbiome-derived metabolites. Besides, in line with the findings of Tang et al.,20 we confirmed that RW infants had significantly different lower airway microbiome diversity, which suggested that lower airway microbiome could be associated with the development of RW.

In the current study, we determined two microbes, Haemophilus and Porphyromonas, especially altered in RW infants. Haemophilus was reported to induce neutrophilic inflammation and exacerbate airway hyperreactivity.21 Studies in Haemophilus-colonized murine models demonstrated enhanced airway remodeling driven by transforming growth factor-beta (TGF-β) and matrix metalloproteinases, which could perpetuate wheezing episodes.22 Porphyromonas, a genus traditionally linked to periodontal disease, has recently been implicated in lung diseases. In allergic airways, Porphyromonas gingivalis exacerbates inflammation through activation of interleukin 6 (IL-6) and tumor necrosis factor-α (TNF-α).23 These cytokines may promote neutrophilic infiltration and mucus hypersecretion, which are commonly featured in severe wheezing.24 Taken together, the co-occurrence of these genera could be involved in RW through multiple mechanisms. The potential roles of these distinct microbes in the development of RW need to be further studied.

In addition to microbes, we further investigated the metabolomics profile of lower airway microbiome. We discovered that several pathways were significantly impacted in RW patients. The correlation analysis showed that two metabolites, G6P and S7P, were significantly associated with two microbes identified in microbiome sequencing. G6P and S7P belong to PPP and starch and sucrose metabolism pathway, respectively. G6P is critical for production of nicotinamide adenine dinucleotide phosphate (NADPH) and synthesis of ribose-5-phosphate. G6P-driven glycolysis in epithelial cells may reduce adenosine triphosphate (ATP) available for barrier maintenance.25

In murine asthma models, inhibition of glycolysis reduces airway hyperreactivity.26 S7P is a precursor for ribose-5-phosphate, essential for nucleotide synthesis.27 Excessive S7P could indicate dysregulated PPP activity.28 In hypoxic or inflamed airways, rapid epithelial turnover may increase S7P demand to support DNA repair. Taken together, high G6P with Haemophilus dominance may signal Th17-high inflammation, warranting IL-17 inhibitors. Moreover, elevated S7P with Porphyromonas could indicate mucus hypersecretion, which may suggest anti-inflammation interventions.

The future studies should validate the convergence of G6P and S7P dysregulation with these microbes in longitudinal cohorts. Understanding the underlying mechanisms could pave the way for precision therapies tailored to individual microbial and metabolic profiles.

There were several limitations to this study, which need to be addressed. First, the sample size of the subjects was relatively small, which could limit the power to detect subtle but biologically relevant differences. Recruiting more subjects in the future, study can add to the statistical effectiveness. Second, it cannot be ruled out that the control subjects may have airway inflammation or microbiome disruption, which can potentially lead to selection bias. Third, the cross-sectional nature of the study limited mechanistic investigation. The causal relationship between metabolites and microbial taxa should be further investigated by longitudinal study. Fourth, the taxonomic analysis of our study was limited to the genus level. In the future study, we plan to include shotgun metagenomics sequencing to further explore differences on species level, and if possible, find specific strains of bacteria.

Conclusions

Our study provided new evidence that alteration in the respiratory tract microbiome could be associated with RW in infants. By elucidating the microbiome and metabolite profile, we identified novel biomarkers potentially useful for personalized management of RW in infants. The future studies should validate the underlying mechanisms in longitudinal cohorts and explore interventions targeting metabolic–microbial crosstalk.

Mandatory Disclosure on Use of Artificial Intelligence

The authors declare that no AI-assisted tools were used in the preparation of this manuscript. All references have been manually verified for accuracy and relevance.

Conflict of Interest

The authors had nothing to disclose regarding funding or any conflict of interest with respect to this manuscript.

Acknowledgment

The authors thanked all the patients who participated in this study.

Author Contributions

All authors contributed equally to this study.

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Supplementary

Data 1 Data 2 rho p value relation
g__Acinetobacter 1,1−Dichloroethane −0.341 0.053 negtive
g__Lactobacillus 1,1−Dichloroethane −0.282 0.111 negtive
g__Veillonella 1,1−Dichloroethane 0.211 0.238 positive
g__Prevotella 1,1−Dichloroethane 0.208 0.245 positive
g__Prevotella_7 1,1−Dichloroethane 0.191 0.286 positive
g__Haemophilus 1,1−Dichloroethane 0.157 0.383 positive
g__Alloprevotella 1,1−Dichloroethane 0.139 0.440 positive
g__Hydrogenophaga 1,1−Dichloroethane −0.137 0.444 negtive
g__Gardnerella 1,1−Dichloroethane −0.122 0.499 negtive
g__Pseudoalteromonas 1,1−Dichloroethane −0.110 0.542 negtive
g__Mycoplasma 1,1−Dichloroethane 0.108 0.549 positive
g__Porphyromonas 1,1−Dichloroethane 0.104 0.565 positive
g__Aeromonas 1,1−Dichloroethane −0.094 0.601 negtive
g__Vibrio 1,1−Dichloroethane −0.091 0.613 negtive
g__Streptococcus 1,1−Dichloroethane 0.080 0.659 positive
g__Moraxella 1,1−Dichloroethane −0.049 0.785 negtive
g__Leifsonia 1,1−Dichloroethane 0.043 0.812 positive
g__Neisseria 1,1−Dichloroethane −0.025 0.890 negtive
g__Tropheryma 1,1−Dichloroethane 0.017 0.927 positive
g__Brevundimonas 1,1−Dichloroethane −0.010 0.956 negtive
g__Haemophilus 1,2,4−Benzenetriol 0.458 0.007 positive
g__Hydrogenophaga 1,2,4−Benzenetriol −0.390 0.026 negtive
g__Porphyromonas 1,2,4−Benzenetriol 0.351 0.045 positive
g__Acinetobacter 1,2,4−Benzenetriol −0.323 0.068 negtive
g__Veillonella 1,2,4−Benzenetriol 0.321 0.069 positive
g__Streptococcus 1,2,4−Benzenetriol 0.291 0.100 positive
g__Brevundimonas 1,2,4−Benzenetriol −0.276 0.120 negtive
g__Prevotella 1,2,4−Benzenetriol 0.274 0.123 positive
g__Alloprevotella 1,2,4−Benzenetriol 0.263 0.139 positive
g__Tropheryma 1,2,4−Benzenetriol 0.263 0.139 positive
g__Neisseria 1,2,4−Benzenetriol 0.255 0.151 positive
g__Gardnerella 1,2,4−Benzenetriol −0.246 0.168 negtive
g__Vibrio 1,2,4−Benzenetriol −0.203 0.257 negtive
g__Leifsonia 1,2,4−Benzenetriol −0.198 0.269 negtive
g__Moraxella 1,2,4−Benzenetriol −0.178 0.321 negtive
g__Mycoplasma 1,2,4−Benzenetriol 0.164 0.362 positive
g__Prevotella_7 1,2,4−Benzenetriol 0.151 0.402 positive
g__Aeromonas 1,2,4−Benzenetriol −0.139 0.440 negtive
g__Pseudoalteromonas 1,2,4−Benzenetriol −0.133 0.459 negtive
g__Lactobacillus 1,2,4−Benzenetriol −0.118 0.512 negtive
g__Mycoplasma 2,4,6−Trinitrotoluene 0.483 0.004 positive
g__Lactobacillus 2,4,6−Trinitrotoluene −0.350 0.047 negtive
g__Moraxella 2,4,6−Trinitrotoluene −0.319 0.070 negtive
g__Porphyromonas 2,4,6−Trinitrotoluene 0.270 0.129 positive
g__Pseudoalteromonas 2,4,6−Trinitrotoluene 0.267 0.134 positive
g__Gardnerella 2,4,6−Trinitrotoluene −0.259 0.146 negtive
g__Haemophilus 2,4,6−Trinitrotoluene 0.231 0.195 positive
g__Veillonella 2,4,6−Trinitrotoluene 0.228 0.203 positive
g__Hydrogenophaga 2,4,6−Trinitrotoluene −0.226 0.205 negtive
g__Vibrio 2,4,6−Trinitrotoluene 0.205 0.252 positive
g__Prevotella 2,4,6−Trinitrotoluene 0.200 0.265 positive
g__Aeromonas 2,4,6−Trinitrotoluene 0.177 0.323 positive
g__Neisseria 2,4,6−Trinitrotoluene 0.173 0.334 positive
g__Prevotella_7 2,4,6−Trinitrotoluene 0.172 0.340 positive
g__Alloprevotella 2,4,6−Trinitrotoluene 0.166 0.355 positive
g__Acinetobacter 2,4,6−Trinitrotoluene −0.161 0.370 negtive
g__Brevundimonas 2,4,6−Trinitrotoluene 0.085 0.636 positive
g__Tropheryma 2,4,6−Trinitrotoluene 0.081 0.652 positive
g__Leifsonia 2,4,6−Trinitrotoluene 0.079 0.662 positive
g__Streptococcus 2,4,6−Trinitrotoluene −0.010 0.958 negtive
g__Porphyromonas 2’,4’−Dihydroxyacetophenone −0.450 0.009 negtive
g__Hydrogenophaga 2’,4’−Dihydroxyacetophenone 0.448 0.010 positive
g__Veillonella 2’,4’−Dihydroxyacetophenone −0.425 0.014 negtive
g__Mycoplasma 2’,4’−Dihydroxyacetophenone −0.411 0.017 negtive
g__Acinetobacter 2’,4’−Dihydroxyacetophenone 0.386 0.027 positive
g__Haemophilus 2’,4’−Dihydroxyacetophenone −0.374 0.032 negtive
g__Lactobacillus 2’,4’−Dihydroxyacetophenone 0.336 0.057 positive
g__Prevotella 2’,4’−Dihydroxyacetophenone −0.282 0.112 negtive
g__Alloprevotella 2’,4’−Dihydroxyacetophenone −0.271 0.127 negtive
g__Tropheryma 2’,4’−Dihydroxyacetophenone −0.248 0.164 negtive
g__Neisseria 2’,4’−Dihydroxyacetophenone −0.240 0.178 negtive
g__Gardnerella 2’,4’−Dihydroxyacetophenone 0.236 0.185 positive
g__Moraxella 2’,4’−Dihydroxyacetophenone 0.234 0.191 positive
g__Prevotella_7 2’,4’−Dihydroxyacetophenone −0.226 0.206 negtive
g__Streptococcus 2’,4’−Dihydroxyacetophenone −0.190 0.290 negtive
g__Vibrio 2’,4’−Dihydroxyacetophenone 0.189 0.292 positive
g__Brevundimonas 2’,4’−Dihydroxyacetophenone 0.171 0.339 positive
g__Aeromonas 2’,4’−Dihydroxyacetophenone 0.138 0.445 positive
g__Leifsonia 2’,4’−Dihydroxyacetophenone 0.098 0.589 positive
g__Pseudoalteromonas 2’,4’−Dihydroxyacetophenone 0.097 0.592 positive
g__Acinetobacter 2,6−Dichlorobenzamide −0.373 0.033 negtive
g__Hydrogenophaga 2,6−Dichlorobenzamide −0.371 0.034 negtive
g__Mycoplasma 2,6−Dichlorobenzamide 0.273 0.124 positive
g__Moraxella 2,6−Dichlorobenzamide −0.271 0.127 negtive
g__Haemophilus 2,6−Dichlorobenzamide 0.236 0.186 positive
g__Brevundimonas 2,6−Dichlorobenzamide −0.136 0.450 negtive
g__Leifsonia 2,6−Dichlorobenzamide −0.130 0.471 negtive
g__Gardnerella 2,6−Dichlorobenzamide −0.120 0.507 negtive
g__Veillonella 2,6−Dichlorobenzamide −0.086 0.633 negtive
g__Prevotella_7 2,6−Dichlorobenzamide −0.082 0.648 negtive
g__Porphyromonas 2,6−Dichlorobenzamide 0.081 0.655 positive
g__Prevotella 2,6−Dichlorobenzamide 0.067 0.710 positive
g__Streptococcus 2,6−Dichlorobenzamide −0.056 0.755 negtive
g__Neisseria 2,6−Dichlorobenzamide −0.042 0.816 negtive
g__Lactobacillus 2,6−Dichlorobenzamide −0.038 0.834 negtive
g__Pseudoalteromonas 2,6−Dichlorobenzamide 0.026 0.885 positive
g__Aeromonas 2,6−Dichlorobenzamide −0.022 0.901 negtive
g__Tropheryma 2,6−Dichlorobenzamide −0.017 0.924 negtive
g__Vibrio 2,6−Dichlorobenzamide 0.016 0.928 positive
g__Alloprevotella 2,6−Dichlorobenzamide 0.010 0.954 positive
g__Mycoplasma 2,6−Dihydroxypyridine 0.338 0.055 positive
g__Lactobacillus 2,6−Dihydroxypyridine −0.244 0.171 negtive
g__Veillonella 2,6−Dihydroxypyridine 0.209 0.242 positive
g__Prevotella 2,6−Dihydroxypyridine 0.186 0.299 positive
g__Alloprevotella 2,6−Dihydroxypyridine 0.172 0.339 positive
g__Prevotella_7 2,6−Dihydroxypyridine 0.156 0.386 positive
g__Tropheryma 2,6−Dihydroxypyridine 0.135 0.452 positive
g__Acinetobacter 2,6−Dihydroxypyridine −0.132 0.462 negtive
g__Porphyromonas 2,6−Dihydroxypyridine 0.124 0.492 positive
g__Leifsonia 2,6−Dihydroxypyridine 0.113 0.530 positive
g__Hydrogenophaga 2,6−Dihydroxypyridine −0.110 0.540 negtive
g__Moraxella 2,6−Dihydroxypyridine −0.107 0.552 negtive
g__Veillonella 4−hydroxybutanoic acid −0.203 0.258 negtive
g__Alloprevotella 4−hydroxybutanoic acid −0.179 0.319 negtive
g__Haemophilus 4−hydroxybutanoic acid −0.113 0.531 negtive
g__Aeromonas 4−hydroxybutanoic acid 0.111 0.540 positive
g__Streptococcus 4−hydroxybutanoic acid 0.090 0.619 positive
g__Prevotella_7 4−hydroxybutanoic acid −0.075 0.677 negtive
g__Vibrio 4−hydroxybutanoic acid 0.075 0.679 positive
g__Prevotella 4−hydroxybutanoic acid −0.067 0.710 negtive
g__Brevundimonas 4−hydroxybutanoic acid 0.067 0.712 positive
g__Pseudoalteromonas 4−hydroxybutanoic acid 0.048 0.791 positive
g__Neisseria 4−hydroxybutanoic acid −0.047 0.794 negtive
g__Leifsonia 4−hydroxybutanoic acid −0.039 0.827 negtive
g__Gardnerella 4−hydroxybutanoic acid 0.027 0.884 positive
g__Tropheryma 4−hydroxybutanoic acid 0.005 0.977 positive
g__Acinetobacter 4−Hydroxyquinoline −0.371 0.034 negtive
g__Gardnerella 4−Hydroxyquinoline −0.355 0.042 negtive
g__Tropheryma 4−Hydroxyquinoline 0.301 0.089 positive
g__Porphyromonas 4−Hydroxyquinoline 0.298 0.093 positive
g__Veillonella 4−Hydroxyquinoline 0.286 0.107 positive
g__Hydrogenophaga 4−Hydroxyquinoline −0.267 0.132 negtive
g__Haemophilus 4−Hydroxyquinoline 0.263 0.140 positive
g__Vibrio 4−Hydroxyquinoline −0.255 0.151 negtive
g__Prevotella 4−Hydroxyquinoline 0.244 0.171 positive
g__Streptococcus 4−Hydroxyquinoline 0.240 0.179 positive
g__Brevundimonas 4−Hydroxyquinoline −0.238 0.182 negtive
g__Leifsonia 4−Hydroxyquinoline −0.206 0.250 negtive
g__Aeromonas 4−Hydroxyquinoline −0.192 0.285 negtive
g__Pseudoalteromonas 4−Hydroxyquinoline −0.191 0.288 negtive
g__Alloprevotella 4−Hydroxyquinoline 0.188 0.296 positive
g__Moraxella 4−Hydroxyquinoline −0.161 0.371 negtive
g__Mycoplasma 4−Hydroxyquinoline 0.133 0.460 positive
g__Lactobacillus 4−Hydroxyquinoline −0.126 0.483 negtive
g__Neisseria 4−Hydroxyquinoline 0.117 0.518 positive
g__Prevotella_7 4−Hydroxyquinoline 0.017 0.925 positive
g__Mycoplasma Acetoacetate 0.352 0.045 positive
g__Moraxella Acetoacetate −0.350 0.046 negtive
g__Hydrogenophaga Acetoacetate −0.350 0.047 negtive
g__Acinetobacter Acetoacetate −0.278 0.118 negtive
g__Gardnerella Acetoacetate −0.244 0.171 negtive
g__Haemophilus Acetoacetate 0.234 0.190 positive
g__Lactobacillus Acetoacetate −0.219 0.219 negtive
g__Brevundimonas Acetoacetate −0.188 0.294 negtive
g__Vibrio Acetoacetate −0.163 0.365 negtive
g__Leifsonia Acetoacetate −0.160 0.375 negtive
g__Porphyromonas Acetoacetate 0.142 0.429 positive
g__Neisseria Acetoacetate 0.137 0.448 positive
g__Aeromonas Acetoacetate −0.136 0.449 negtive
g__Tropheryma Acetoacetate 0.117 0.517 positive
g__Alloprevotella Acetoacetate 0.100 0.581 positive
g__Pseudoalteromonas Acetoacetate −0.094 0.605 negtive
g__Veillonella Acetoacetate 0.082 0.648 positive
g__Prevotella Acetoacetate 0.080 0.657 positive
g__Streptococcus Acetoacetate −0.043 0.811 negtive
g__Prevotella_7 Acetoacetate 0.004 0.984 positive
g__Acinetobacter Acetylcysteine −0.298 0.092 negtive
g__Hydrogenophaga Acetylcysteine −0.297 0.093 negtive
g__Prevotella Acetylcysteine 0.274 0.124 positive
g__Gardnerella Acetylcysteine −0.256 0.151 negtive
g__Moraxella Acetylcysteine −0.247 0.167 negtive
g__Mycoplasma Acetylcysteine 0.196 0.275 positive
g__Haemophilus Acetylcysteine 0.189 0.293 positive
g__Tropheryma Acetylcysteine −0.159 0.376 negtive
g__Veillonella Acetylcysteine 0.145 0.420 positive
g__Porphyromonas Acetylcysteine 0.123 0.497 positive
g__Alloprevotella Acetylcysteine 0.110 0.544 positive
g__Brevundimonas Acetylcysteine −0.104 0.565 negtive
g__Prevotella_7 Acetylcysteine 0.090 0.618 positive
g__Pseudoalteromonas Acetylcysteine 0.050 0.783 positive
g__Neisseria Acetylcysteine 0.047 0.794 positive
g__Lactobacillus Acetylcysteine 0.046 0.798 positive
g__Vibrio Acetylcysteine 0.015 0.932 positive
g__Leifsonia Acetylcysteine −0.015 0.935 negtive
g__Streptococcus Acetylcysteine 0.012 0.948 positive
g__Aeromonas Acetylcysteine −0.002 0.993 negtive
g__Mycoplasma Acetylenedicarboxylic acid −0.351 0.045 negtive
g__Haemophilus Acetylenedicarboxylic acid −0.300 0.090 negtive
g__Tropheryma Acetylenedicarboxylic acid −0.213 0.235 negtive
g__Gardnerella Acetylenedicarboxylic acid 0.203 0.258 positive
g__Prevotella_7 Acetylenedicarboxylic acid −0.176 0.328 negtive
g__Porphyromonas Acetylenedicarboxylic acid −0.135 0.454 negtive
g__Prevotella Acetylenedicarboxylic acid −0.123 0.497 negtive
g__Moraxella Acetylenedicarboxylic acid 0.121 0.501 positive
g__Pseudoalteromonas Acetylenedicarboxylic acid −0.112 0.536 negtive
g__Lactobacillus Acetylenedicarboxylic acid 0.110 0.540 positive
g__Neisseria Acetylenedicarboxylic acid −0.101 0.574 negtive
g__Vibrio Acetylenedicarboxylic acid −0.097 0.590 negtive
g__Hydrogenophaga Acetylenedicarboxylic acid 0.094 0.603 positive
g__Veillonella Acetylenedicarboxylic acid −0.089 0.624 negtive
g__Acinetobacter Acetylenedicarboxylic acid 0.088 0.624 positive
g__Aeromonas Acetylenedicarboxylic acid −0.084 0.642 negtive
g__Alloprevotella Acetylenedicarboxylic acid −0.059 0.744 negtive
g__Leifsonia Acetylenedicarboxylic acid −0.053 0.769 negtive
g__Brevundimonas Acetylenedicarboxylic acid 0.035 0.848 positive
g__Streptococcus Acetylenedicarboxylic acid −0.006 0.973 negtive
g__Moraxella Adipate semialdehyde −0.394 0.023 negtive
g__Prevotella Adipate semialdehyde 0.186 0.301 positive
g__Vibrio Adipate semialdehyde −0.179 0.318 negtive
g__Brevundimonas Adipate semialdehyde −0.164 0.360 negtive
g__Mycoplasma Adipate semialdehyde 0.159 0.377 positive
g__Neisseria Adipate semialdehyde 0.153 0.395 positive
g__Aeromonas Adipate semialdehyde −0.138 0.445 negtive
g__Porphyromonas Adipate semialdehyde 0.122 0.499 positive
g__Pseudoalteromonas Adipate semialdehyde −0.110 0.542 negtive
g__Alloprevotella Adipate semialdehyde 0.106 0.559 positive
g__Hydrogenophaga Adipate semialdehyde −0.098 0.585 negtive
g__Leifsonia Adipate semialdehyde −0.095 0.598 negtive
g__Veillonella Adipate semialdehyde 0.092 0.609 positive
g__Acinetobacter Adipate semialdehyde −0.084 0.643 negtive
g__Gardnerella Adipate semialdehyde 0.082 0.650 positive
g__Haemophilus Adipate semialdehyde 0.064 0.725 positive
g__Prevotella_7 Adipate semialdehyde −0.062 0.732 negtive
g__Lactobacillus Adipate semialdehyde 0.047 0.793 positive
g__Streptococcus Adipate semialdehyde −0.027 0.882 negtive
g__Tropheryma Adipate semialdehyde 0.002 0.990 positive
g__Acinetobacter alpha−Eleostearic acid −0.496 0.004 negtive
g__Hydrogenophaga alpha−Eleostearic acid −0.489 0.004 negtive
g__Lactobacillus alpha−Eleostearic acid −0.262 0.141 negtive
g__Streptococcus alpha−Eleostearic acid 0.255 0.152 positive
g__Porphyromonas alpha−Eleostearic acid 0.253 0.155 positive
g__Mycoplasma alpha−Eleostearic acid 0.232 0.194 positive
g__Moraxella alpha−Eleostearic acid −0.218 0.223 negtive
g__Veillonella alpha−Eleostearic acid 0.217 0.225 positive
g__Gardnerella alpha−Eleostearic acid −0.204 0.255 negtive
g__Haemophilus alpha−Eleostearic acid 0.199 0.268 positive
g__Brevundimonas alpha−Eleostearic acid −0.161 0.369 negtive
g__Prevotella alpha−Eleostearic acid 0.100 0.581 positive
g__Tropheryma alpha−Eleostearic acid 0.094 0.603 positive
g__Alloprevotella alpha−Eleostearic acid 0.077 0.668 positive
g__Neisseria alpha−Eleostearic acid 0.067 0.710 positive
g__Leifsonia alpha−Eleostearic acid −0.065 0.718 negtive
g__Vibrio alpha−Eleostearic acid −0.053 0.768 negtive
g__Aeromonas alpha−Eleostearic acid −0.022 0.903 negtive
g__Pseudoalteromonas alpha−Eleostearic acid −0.019 0.917 negtive
g__Prevotella_7 alpha−Eleostearic acid −0.019 0.918 negtive
g__Porphyromonas Ancistrocladine 0.542 0.001 positive
g__Haemophilus Ancistrocladine 0.538 0.001 positive
g__Hydrogenophaga Ancistrocladine −0.515 0.002 negtive
g__Acinetobacter Ancistrocladine −0.509 0.003 negtive
g__Veillonella Ancistrocladine 0.432 0.012 positive
g__Alloprevotella Ancistrocladine 0.398 0.022 positive
g__Streptococcus Ancistrocladine 0.379 0.030 positive
g__Prevotella Ancistrocladine 0.365 0.037 positive
g__Neisseria Ancistrocladine 0.328 0.062 positive
g__Brevundimonas Ancistrocladine −0.319 0.071 negtive
g__Mycoplasma Ancistrocladine 0.286 0.107 positive
g__Pseudoalteromonas Ancistrocladine −0.284 0.110 negtive
g__Aeromonas Ancistrocladine −0.277 0.119 negtive
g__Prevotella_7 Ancistrocladine 0.250 0.161 positive
g__Vibrio Ancistrocladine −0.244 0.171 negtive
g__Leifsonia Ancistrocladine −0.209 0.243 negtive
g__Tropheryma Ancistrocladine 0.149 0.407 positive
g__Lactobacillus Ancistrocladine −0.095 0.598 negtive
g__Moraxella Ancistrocladine −0.071 0.695 negtive
g__Gardnerella Ancistrocladine −0.048 0.789 negtive
g__Veillonella Betaine 0.231 0.196 positive
g__Gardnerella Betaine −0.209 0.243 negtive
g__Lactobacillus Betaine −0.208 0.245 negtive
g__Prevotella Betaine 0.206 0.251 positive
g__Acinetobacter Betaine −0.201 0.260 negtive
g__Mycoplasma Betaine 0.150 0.405 positive
g__Hydrogenophaga Betaine −0.130 0.470 negtive
g__Moraxella Betaine −0.122 0.500 negtive
g__Alloprevotella Betaine 0.119 0.509 positive
g__Prevotella_7 Betaine 0.116 0.520 positive
g__Vibrio Betaine −0.092 0.611 negtive
g__Porphyromonas Betaine 0.091 0.616 positive
g__Aeromonas Betaine −0.090 0.617 negtive
g__Haemophilus Betaine 0.070 0.699 positive
g__Pseudoalteromonas Betaine −0.055 0.759 negtive
g__Streptococcus Betaine 0.045 0.803 positive
g__Tropheryma Betaine 0.034 0.851 positive
g__Neisseria Betaine −0.033 0.853 negtive
g__Leifsonia Betaine 0.030 0.870 positive
g__Brevundimonas Betaine −0.028 0.875 negtive
g__Mycoplasma biotin 0.302 0.087 positive
g__Acinetobacter biotin −0.293 0.098 negtive
g__Haemophilus biotin 0.292 0.099 positive
g__Porphyromonas biotin 0.239 0.181 positive
g__Hydrogenophaga biotin −0.209 0.243 negtive
g__Gardnerella biotin −0.191 0.287 negtive
g__Leifsonia biotin −0.189 0.291 negtive
g__Moraxella biotin −0.157 0.383 negtive
g__Streptococcus biotin 0.144 0.424 positive
g__Veillonella biotin 0.127 0.481 positive
g__Brevundimonas biotin −0.123 0.493 negtive
g__Neisseria biotin 0.119 0.509 positive
g__Aeromonas biotin −0.115 0.523 negtive
g__Prevotella biotin 0.108 0.548 positive
g__Pseudoalteromonas biotin −0.093 0.605 negtive
g__Vibrio biotin −0.092 0.609 negtive
g__Lactobacillus biotin −0.088 0.627 negtive
g__Tropheryma biotin 0.072 0.689 positive
g__Alloprevotella biotin 0.052 0.775 positive
g__Prevotella_7 biotin −0.005 0.976 negtive
g__Hydrogenophaga Butyric acid 0.469 0.006 positive
g__Acinetobacter Butyric acid 0.440 0.011 positive
g__Porphyromonas Butyric acid −0.294 0.096 negtive
g__Brevundimonas Butyric acid 0.225 0.207 positive
g__Haemophilus Butyric acid −0.205 0.254 negtive
g__Veillonella Butyric acid −0.204 0.256 negtive
g__Tropheryma Butyric acid 0.178 0.322 positive
g__Prevotella Butyric acid −0.169 0.346 negtive
g__Leifsonia Butyric acid 0.168 0.350 positive
g__Streptococcus Butyric acid −0.159 0.377 negtive
g__Vibrio Butyric acid 0.141 0.434 positive
g__Moraxella Butyric acid 0.117 0.516 positive
g__Gardnerella Butyric acid 0.106 0.559 positive
g__Pseudoalteromonas Butyric acid 0.095 0.598 positive
g__Neisseria Butyric acid −0.090 0.617 negtive
g__Mycoplasma Butyric acid −0.084 0.644 negtive
g__Aeromonas Butyric acid 0.066 0.716 positive
g__Prevotella_7 Butyric acid −0.053 0.771 negtive
g__Alloprevotella Butyric acid −0.034 0.849 negtive
g__Lactobacillus Butyric acid −0.030 0.869 negtive
g__Haemophilus Cinobufagin 0.309 0.080 positive
g__Tropheryma Cinobufagin 0.308 0.081 positive
g__Hydrogenophaga Cinobufagin −0.220 0.217 negtive
g__Brevundimonas Cinobufagin −0.214 0.231 negtive
g__Leifsonia Cinobufagin −0.204 0.256 negtive
g__Lactobacillus Cinobufagin 0.175 0.328 positive
g__Acinetobacter Cinobufagin −0.123 0.493 negtive
g__Prevotella Cinobufagin 0.103 0.569 positive
g__Gardnerella Cinobufagin −0.095 0.597 negtive
g__Vibrio Cinobufagin −0.073 0.687 negtive
g__Moraxella Cinobufagin 0.069 0.702 positive
g__Alloprevotella Cinobufagin −0.069 0.703 negtive
g__Neisseria Cinobufagin −0.058 0.750 negtive
g__Prevotella_7 Cinobufagin −0.040 0.826 negtive
g__Veillonella Cinobufagin −0.031 0.864 negtive
g__Porphyromonas Cinobufagin −0.031 0.866 negtive
g__Aeromonas Cinobufagin −0.019 0.917 negtive
g__Mycoplasma Cinobufagin −0.009 0.959 negtive
g__Pseudoalteromonas Cinobufagin −0.005 0.976 negtive
g__Streptococcus Cinobufagin 0.002 0.991 positive
g__Moraxella Clothianidin −0.466 0.006 negtive
g__Hydrogenophaga Clothianidin −0.340 0.054 negtive
g__Mycoplasma Clothianidin 0.281 0.113 positive
g__Acinetobacter Clothianidin −0.279 0.116 negtive
g__Brevundimonas Clothianidin −0.267 0.133 negtive
g__Aeromonas Clothianidin −0.253 0.155 negtive
g__Porphyromonas Clothianidin 0.243 0.173 positive
g__Haemophilus Clothianidin 0.236 0.185 positive
g__Gardnerella Clothianidin −0.232 0.193 negtive
g__Veillonella Clothianidin 0.225 0.208 positive
g__Vibrio Clothianidin −0.219 0.222 negtive
g__Alloprevotella Clothianidin 0.207 0.247 positive
g__Leifsonia Clothianidin −0.185 0.302 negtive
g__Pseudoalteromonas Clothianidin −0.173 0.335 negtive
g__Prevotella Clothianidin 0.155 0.390 positive
g__Lactobacillus Clothianidin −0.148 0.409 negtive
g__Streptococcus Clothianidin −0.084 0.641 negtive
g__Neisseria Clothianidin 0.072 0.691 positive
g__Prevotella_7 Clothianidin 0.069 0.705 positive
g__Tropheryma Clothianidin −0.065 0.721 negtive
g__Porphyromonas D−Arabinose 5−phosphate 0.524 0.002 positive
g__Haemophilus D−Arabinose 5−phosphate 0.465 0.006 positive
g__Hydrogenophaga D−Arabinose 5−phosphate −0.445 0.010 negtive
g__Acinetobacter D−Arabinose 5−phosphate −0.408 0.019 negtive
g__Streptococcus D−Arabinose 5−phosphate 0.405 0.020 positive
g__Veillonella D−Arabinose 5−phosphate 0.387 0.026 positive
g__Neisseria D−Arabinose 5−phosphate 0.338 0.055 positive
g__Prevotella D−Arabinose 5−phosphate 0.331 0.060 positive
g__Tropheryma D−Arabinose 5−phosphate 0.310 0.079 positive
g__Alloprevotella D−Arabinose 5−phosphate 0.303 0.086 positive
g__Mycoplasma D−Arabinose 5−phosphate 0.286 0.107 positive
g__Moraxella D−Arabinose 5−phosphate −0.273 0.124 negtive
g__Prevotella_7 D−Arabinose 5−phosphate 0.231 0.195 positive
g__Lactobacillus D−Arabinose 5−phosphate −0.229 0.200 negtive
g__Brevundimonas D−Arabinose 5−phosphate −0.197 0.271 negtive
g__Gardnerella D−Arabinose 5−phosphate −0.196 0.275 negtive
g__Leifsonia D−Arabinose 5−phosphate −0.142 0.432 negtive
g__Vibrio D−Arabinose 5−phosphate −0.115 0.523 negtive
g__Aeromonas D−Arabinose 5−phosphate −0.066 0.717 negtive
g__Pseudoalteromonas D−Arabinose 5−phosphate −0.039 0.831 negtive
g__Lactobacillus D−Cysteine −0.390 0.025 negtive
g__Gardnerella D−Cysteine −0.389 0.025 negtive
g__Mycoplasma D−Cysteine 0.351 0.045 positive
g__Acinetobacter D−Cysteine −0.307 0.082 negtive
g__Hydrogenophaga D−Cysteine −0.286 0.106 negtive
g__Haemophilus D−Cysteine 0.268 0.132 positive
g__Tropheryma D−Cysteine 0.248 0.163 positive
g__Prevotella D−Cysteine 0.228 0.203 positive
g__Moraxella D−Cysteine −0.194 0.280 negtive
g__Porphyromonas D−Cysteine 0.149 0.406 positive
g__Streptococcus D−Cysteine 0.144 0.423 positive
g__Veillonella D−Cysteine 0.135 0.454 positive
g__Leifsonia D−Cysteine −0.121 0.504 negtive
g__Brevundimonas D−Cysteine −0.106 0.555 negtive
g__Alloprevotella D−Cysteine 0.101 0.575 positive
g__Pseudoalteromonas D−Cysteine 0.063 0.728 positive
g__Neisseria D−Cysteine 0.055 0.760 positive
g__Vibrio D−Cysteine −0.046 0.799 negtive
g__Aeromonas D−Cysteine 0.032 0.860 positive
g__Prevotella_7 D−Cysteine −0.013 0.943 negtive
g__Hydrogenophaga Formononetin −0.611 0.000 negtive
g__Acinetobacter Formononetin −0.593 0.000 negtive
g__Mycoplasma Formononetin 0.419 0.015 positive
g__Porphyromonas Formononetin 0.313 0.076 positive
g__Haemophilus Formononetin 0.309 0.081 positive
g__Gardnerella Formononetin −0.273 0.124 negtive
g__Moraxella Formononetin −0.269 0.130 negtive
g__Lactobacillus Formononetin −0.246 0.167 negtive
g__Brevundimonas Formononetin −0.232 0.193 negtive
g__Prevotella Formononetin 0.214 0.233 positive
g__Veillonella Formononetin 0.207 0.248 positive
g__Tropheryma Formononetin 0.185 0.304 positive
g__Streptococcus Formononetin 0.164 0.360 positive
g__Leifsonia Formononetin −0.149 0.407 negtive
g__Neisseria Formononetin 0.073 0.686 positive
g__Vibrio Formononetin −0.023 0.901 negtive
g__Aeromonas Formononetin −0.022 0.905 negtive
g__Prevotella_7 Formononetin 0.004 0.982 positive
g__Alloprevotella Formononetin 0.003 0.985 positive
g__Pseudoalteromonas Formononetin −0.002 0.993 negtive
g__Hydrogenophaga Glucose 6−phosphate −0.741 0.000 negtive
g__Acinetobacter Glucose 6−phosphate −0.650 0.000 negtive
g__Porphyromonas Glucose 6−phosphate 0.452 0.008 positive
g__Haemophilus Glucose 6−phosphate 0.443 0.010 positive
g__Brevundimonas Glucose 6−phosphate −0.414 0.017 negtive
g__Leifsonia Glucose 6−phosphate −0.361 0.039 negtive
g__Moraxella Glucose 6−phosphate −0.294 0.097 negtive
g__Veillonella Glucose 6−phosphate 0.289 0.103 positive
g__Vibrio Glucose 6−phosphate −0.247 0.166 negtive
g__Mycoplasma Glucose 6−phosphate 0.218 0.222 positive
g__Aeromonas Glucose 6−phosphate −0.217 0.224 negtive
g__Pseudoalteromonas Glucose 6−phosphate −0.208 0.245 negtive
g__Tropheryma Glucose 6−phosphate 0.200 0.265 positive
g__Gardnerella Glucose 6−phosphate −0.192 0.286 negtive
g__Streptococcus Glucose 6−phosphate 0.182 0.310 positive
g__Prevotella Glucose 6−phosphate 0.173 0.334 positive
g__Neisseria Glucose 6−phosphate 0.166 0.357 positive
g__Lactobacillus Glucose 6−phosphate −0.118 0.513 negtive
g__Alloprevotella Glucose 6−phosphate 0.107 0.555 positive
g__Prevotella_7 Glucose 6−phosphate 0.073 0.687 positive
g__Tropheryma Glycidol 0.452 0.008 positive
g__Prevotella Glycidol 0.379 0.029 positive
g__Gardnerella Glycidol −0.357 0.041 negtive
g__Prevotella_7 Glycidol 0.317 0.072 positive
g__Haemophilus Glycidol 0.292 0.099 positive
g__Veillonella Glycidol 0.284 0.109 positive
g__Alloprevotella Glycidol 0.282 0.112 positive
g__Lactobacillus Glycidol −0.277 0.119 negtive
g__Neisseria Glycidol 0.266 0.134 positive
g__Streptococcus Glycidol 0.229 0.200 positive
g__Pseudoalteromonas Glycidol 0.212 0.237 positive
g__Aeromonas Glycidol 0.186 0.299 positive
g__Leifsonia Glycidol 0.163 0.364 positive
g__Vibrio Glycidol 0.147 0.415 positive
g__Brevundimonas Glycidol 0.132 0.461 positive
g__Moraxella Glycidol 0.113 0.533 positive
g__Porphyromonas Glycidol 0.110 0.544 positive
g__Hydrogenophaga Glycidol 0.081 0.652 positive
g__Mycoplasma Glycidol 0.074 0.683 positive
g__Acinetobacter Glycidol 0.054 0.764 positive
g__Mycoplasma Glycine 0.375 0.031 positive
g__Tropheryma Glycine 0.281 0.114 positive
g__Lactobacillus Glycine −0.265 0.135 negtive
g__Hydrogenophaga Glycine −0.235 0.187 negtive
g__Gardnerella Glycine −0.220 0.219 negtive
g__Haemophilus Glycine 0.204 0.255 positive
g__Vibrio Glycine −0.197 0.272 negtive
g__Acinetobacter Glycine −0.193 0.282 negtive
g__Neisseria Glycine 0.182 0.309 positive
g__Alloprevotella Glycine 0.175 0.330 positive
g__Porphyromonas Glycine 0.166 0.355 positive
g__Prevotella Glycine 0.164 0.361 positive
g__Brevundimonas Glycine −0.140 0.434 negtive
g__Veillonella Glycine 0.140 0.436 positive
g__Moraxella Glycine −0.119 0.508 negtive
g__Aeromonas Glycine −0.111 0.539 negtive
g__Leifsonia Glycine −0.107 0.553 negtive
g__Streptococcus Glycine 0.100 0.581 positive
g__Pseudoalteromonas Glycine −0.081 0.656 negtive
g__Prevotella_7 Glycine 0.063 0.728 positive
g__Mycoplasma Glycolic acid 0.427 0.013 positive
g__Lactobacillus Glycolic acid −0.365 0.038 negtive
g__Gardnerella Glycolic acid −0.364 0.037 negtive
g__Tropheryma Glycolic acid 0.305 0.084 positive
g__Hydrogenophaga Glycolic acid −0.240 0.178 negtive
g__Haemophilus Glycolic acid 0.203 0.257 positive
g__Neisseria Glycolic acid 0.179 0.320 positive
g__Acinetobacter Glycolic acid −0.161 0.369 negtive
g__Alloprevotella Glycolic acid 0.156 0.385 positive
g__Veillonella Glycolic acid 0.144 0.426 positive
g__Porphyromonas Glycolic acid 0.137 0.449 positive
g__Prevotella Glycolic acid 0.134 0.456 positive
g__Moraxella Glycolic acid −0.106 0.557 negtive
g__Pseudoalteromonas Glycolic acid 0.077 0.672 positive
g__Streptococcus Glycolic acid 0.067 0.712 positive
g__Aeromonas Glycolic acid 0.037 0.836 positive
g__Vibrio Glycolic acid −0.037 0.836 negtive
g__Leifsonia Glycolic acid 0.007 0.971 positive
g__Prevotella_7 Glycolic acid 0.002 0.991 positive
g__Brevundimonas Glycolic acid −0.002 0.992 negtive
g__Hydrogenophaga Guanosine monophosphate −0.502 0.003 negtive
g__Brevundimonas Guanosine monophosphate −0.324 0.066 negtive
g__Porphyromonas Guanosine monophosphate 0.309 0.080 positive
g__Acinetobacter Guanosine monophosphate −0.301 0.089 negtive
g__Haemophilus Guanosine monophosphate 0.289 0.103 positive
g__Leifsonia Guanosine monophosphate −0.278 0.117 negtive
g__Mycoplasma Guanosine monophosphate 0.255 0.152 positive
g__Prevotella Guanosine monophosphate 0.150 0.406 positive
g__Gardnerella Guanosine monophosphate −0.149 0.408 negtive
g__Moraxella Guanosine monophosphate −0.134 0.458 negtive
g__Vibrio Guanosine monophosphate −0.108 0.549 negtive
g__Veillonella Guanosine monophosphate 0.098 0.586 positive
g__Streptococcus Guanosine monophosphate 0.088 0.625 positive
g__Prevotella_7 Guanosine monophosphate 0.066 0.714 positive
g__Neisseria Guanosine monophosphate 0.065 0.721 positive
g__Aeromonas Guanosine monophosphate −0.047 0.796 negtive
g__Pseudoalteromonas Guanosine monophosphate −0.045 0.802 negtive
g__Alloprevotella Guanosine monophosphate −0.040 0.825 negtive
g__Tropheryma Guanosine monophosphate 0.027 0.881 positive
g__Lactobacillus Guanosine monophosphate −0.026 0.887 negtive
g__Hydrogenophaga Hippuric acid −0.386 0.027 negtive
g__Leifsonia Hippuric acid −0.370 0.034 negtive
g__Acinetobacter Hippuric acid −0.352 0.045 negtive
g__Brevundimonas Hippuric acid −0.344 0.051 negtive
g__Vibrio Hippuric acid −0.304 0.086 negtive
g__Pseudoalteromonas Hippuric acid −0.299 0.092 negtive
g__Aeromonas Hippuric acid −0.292 0.099 negtive
g__Prevotella_7 Hippuric acid −0.266 0.135 negtive
g__Alloprevotella Hippuric acid −0.188 0.294 negtive
g__Veillonella Hippuric acid −0.183 0.308 negtive
g__Streptococcus Hippuric acid −0.182 0.311 negtive
g__Gardnerella Hippuric acid −0.147 0.415 negtive
g__Moraxella Hippuric acid −0.131 0.469 negtive
g__Neisseria Hippuric acid −0.117 0.517 negtive
g__Mycoplasma Hippuric acid 0.110 0.543 positive
g__Haemophilus Hippuric acid 0.083 0.647 positive
g__Lactobacillus Hippuric acid 0.081 0.653 positive
g__Porphyromonas Hippuric acid 0.073 0.687 positive
g__Tropheryma Hippuric acid −0.068 0.705 negtive
g__Prevotella Hippuric acid −0.033 0.855 negtive
g__Porphyromonas Imazamox 0.568 0.001 positive
g__Haemophilus Imazamox 0.558 0.001 positive
g__Hydrogenophaga Imazamox −0.430 0.013 negtive
g__Veillonella Imazamox 0.415 0.016 positive
g__Prevotella_7 Imazamox 0.413 0.017 positive
g__Acinetobacter Imazamox −0.374 0.033 negtive
g__Neisseria Imazamox 0.362 0.038 positive
g__Alloprevotella Imazamox 0.311 0.078 positive
g__Prevotella Imazamox 0.299 0.091 positive
g__Streptococcus Imazamox 0.296 0.094 positive
g__Mycoplasma Imazamox 0.287 0.106 positive
g__Lactobacillus Imazamox −0.269 0.130 negtive
g__Gardnerella Imazamox −0.256 0.151 negtive
g__Tropheryma Imazamox 0.227 0.205 positive
g__Leifsonia Imazamox −0.075 0.677 negtive
g__Brevundimonas Imazamox −0.058 0.746 negtive
g__Moraxella Imazamox −0.020 0.914 negtive
g__Vibrio Imazamox 0.019 0.917 positive
g__Aeromonas Imazamox −0.016 0.931 negtive
g__Pseudoalteromonas Imazamox 0.007 0.968 positive
g__Haemophilus Lenticin 0.442 0.010 positive
g__Porphyromonas Lenticin 0.336 0.056 positive
g__Prevotella Lenticin 0.327 0.063 positive
g__Acinetobacter Lenticin −0.314 0.075 negtive
g__Brevundimonas Lenticin −0.252 0.157 negtive
g__Leifsonia Lenticin −0.249 0.162 negtive
g__Hydrogenophaga Lenticin −0.235 0.187 negtive
g__Moraxella Lenticin −0.205 0.253 negtive
g__Alloprevotella Lenticin 0.194 0.279 positive
g__Neisseria Lenticin 0.190 0.289 positive
g__Veillonella Lenticin 0.188 0.295 positive
g__Gardnerella Lenticin −0.126 0.484 negtive
g__Mycoplasma Lenticin 0.118 0.515 positive
g__Aeromonas Lenticin −0.113 0.530 negtive
g__Streptococcus Lenticin 0.112 0.534 positive
g__Prevotella_7 Lenticin 0.087 0.630 positive
g__Vibrio Lenticin −0.085 0.640 negtive
g__Pseudoalteromonas Lenticin −0.082 0.652 negtive
g__Lactobacillus Lenticin 0.032 0.861 positive
g__Tropheryma Lenticin 0.021 0.909 positive
g__Acinetobacter Malondialdehyde −0.621 0.000 negtive
g__Hydrogenophaga Malondialdehyde −0.589 0.000 negtive
g__Porphyromonas Malondialdehyde 0.435 0.011 positive
g__Veillonella Malondialdehyde 0.386 0.027 positive
g__Vibrio Malondialdehyde −0.359 0.040 negtive
g__Brevundimonas Malondialdehyde −0.354 0.044 negtive
g__Aeromonas Malondialdehyde −0.317 0.072 negtive
g__Leifsonia Malondialdehyde −0.303 0.087 negtive
g__Pseudoalteromonas Malondialdehyde −0.297 0.093 negtive
g__Moraxella Malondialdehyde −0.274 0.122 negtive
g__Haemophilus Malondialdehyde 0.274 0.122 positive
g__Streptococcus Malondialdehyde 0.271 0.128 positive
g__Mycoplasma Malondialdehyde 0.256 0.150 positive
g__Lactobacillus Malondialdehyde −0.252 0.156 negtive
g__Alloprevotella Malondialdehyde 0.181 0.313 positive
g__Prevotella Malondialdehyde 0.147 0.415 positive
g__Gardnerella Malondialdehyde −0.139 0.440 negtive
g__Tropheryma Malondialdehyde 0.110 0.541 positive
g__Neisseria Malondialdehyde 0.086 0.634 positive
g__Prevotella_7 Malondialdehyde 0.051 0.779 positive
g__Hydrogenophaga MANNOSE −0.534 0.002 negtive
g__Acinetobacter MANNOSE −0.533 0.002 negtive
g__Porphyromonas MANNOSE 0.510 0.002 positive
g__Veillonella MANNOSE 0.462 0.007 positive
g__Haemophilus MANNOSE 0.357 0.041 positive
g__Lactobacillus MANNOSE −0.349 0.047 negtive
g__Mycoplasma MANNOSE 0.313 0.076 positive
g__Streptococcus MANNOSE 0.295 0.095 positive
g__Prevotella MANNOSE 0.289 0.103 positive
g__Alloprevotella MANNOSE 0.283 0.110 positive
g__Vibrio MANNOSE −0.278 0.117 negtive
g__Brevundimonas MANNOSE −0.274 0.123 negtive
g__Leifsonia MANNOSE −0.229 0.200 negtive
g__Aeromonas MANNOSE −0.229 0.200 negtive
g__Neisseria MANNOSE 0.227 0.205 positive
g__Pseudoalteromonas MANNOSE −0.203 0.256 negtive
g__Moraxella MANNOSE −0.179 0.318 negtive
g__Prevotella_7 MANNOSE 0.142 0.429 positive
g__Tropheryma MANNOSE 0.137 0.449 positive
g__Gardnerella MANNOSE −0.132 0.464 negtive
g__Moraxella N−Acetyl−alpha−D−glucosamine 1−phosphate −0.403 0.020 negtive
g__Acinetobacter N−Acetyl−alpha−D−glucosamine 1−phosphate −0.363 0.039 negtive
g__Hydrogenophaga N−Acetyl−alpha−D−glucosamine 1−phosphate −0.275 0.121 negtive
g__Lactobacillus N−Acetyl−alpha−D−glucosamine 1−phosphate −0.243 0.173 negtive
g__Brevundimonas N−Acetyl−alpha−D−glucosamine 1−phosphate −0.237 0.184 negtive
g__Leifsonia N−Acetyl−alpha−D−glucosamine 1−phosphate −0.223 0.212 negtive
g__Mycoplasma N−Acetyl−alpha−D−glucosamine 1−phosphate 0.206 0.250 positive
g__Aeromonas N−Acetyl−alpha−D−glucosamine 1−phosphate −0.188 0.295 negtive
g__Tropheryma N−Acetyl−alpha−D−glucosamine 1−phosphate −0.185 0.301 negtive
g__Gardnerella N−Acetyl−alpha−D−glucosamine 1−phosphate −0.172 0.340 negtive
g__Vibrio N−Acetyl−alpha−D−glucosamine 1−phosphate −0.164 0.363 negtive
g__Pseudoalteromonas N−Acetyl−alpha−D−glucosamine 1−phosphate −0.149 0.408 negtive
g__Porphyromonas N−Acetyl−alpha−D−glucosamine 1−phosphate 0.134 0.457 positive
g__Haemophilus N−Acetyl−alpha−D−glucosamine 1−phosphate 0.134 0.457 positive
g__Neisseria N−Acetyl−alpha−D−glucosamine 1−phosphate −0.109 0.547 negtive
g__Prevotella_7 N−Acetyl−alpha−D−glucosamine 1−phosphate −0.096 0.596 negtive
g__Alloprevotella N−Acetyl−alpha−D−glucosamine 1−phosphate 0.072 0.690 positive
g__Veillonella N−Acetyl−alpha−D−glucosamine 1−phosphate 0.065 0.719 positive
g__Streptococcus N−Acetyl−alpha−D−glucosamine 1−phosphate −0.050 0.784 negtive
g__Prevotella N−Acetyl−alpha−D−glucosamine 1−phosphate 0.015 0.935 positive
g__Acinetobacter N−Acetyl−D−tryptophan −0.364 0.038 negtive
g__Vibrio N−Acetyl−D−tryptophan −0.329 0.062 negtive
g__Hydrogenophaga N−Acetyl−D−tryptophan −0.327 0.064 negtive
g__Brevundimonas N−Acetyl−D−tryptophan −0.318 0.072 negtive
g__Pseudoalteromonas N−Acetyl−D−tryptophan −0.305 0.084 negtive
g__Aeromonas N−Acetyl−D−tryptophan −0.300 0.090 negtive
g__Leifsonia N−Acetyl−D−tryptophan −0.221 0.217 negtive
g__Moraxella N−Acetyl−D−tryptophan −0.180 0.316 negtive
g__Tropheryma N−Acetyl−D−tryptophan 0.153 0.397 positive
g__Lactobacillus N−Acetyl−D−tryptophan 0.151 0.401 positive
g__Gardnerella N−Acetyl−D−tryptophan −0.133 0.462 negtive
g__Haemophilus N−Acetyl−D−tryptophan 0.109 0.545 positive
g__Neisseria N−Acetyl−D−tryptophan −0.075 0.680 negtive
g__Alloprevotella N−Acetyl−D−tryptophan −0.066 0.714 negtive
g__Prevotella_7 N−Acetyl−D−tryptophan −0.051 0.777 negtive
g__Veillonella N−Acetyl−D−tryptophan 0.036 0.843 positive
g__Streptococcus N−Acetyl−D−tryptophan 0.025 0.889 positive
g__Porphyromonas N−Acetyl−D−tryptophan −0.014 0.940 negtive
g__Prevotella N−Acetyl−D−tryptophan −0.001 0.994 negtive
g__Mycoplasma N−Acetyl−D−tryptophan −0.001 0.997 negtive
g__Mycoplasma N−Acetyl−L−cysteine 0.379 0.030 positive
g__Hydrogenophaga N−Acetyl−L−cysteine −0.332 0.060 negtive
g__Prevotella N−Acetyl−L−cysteine 0.328 0.062 positive
g__Porphyromonas N−Acetyl−L−cysteine 0.285 0.107 positive
g__Acinetobacter N−Acetyl−L−cysteine −0.280 0.114 negtive
g__Haemophilus N−Acetyl−L−cysteine 0.260 0.144 positive
g__Lactobacillus N−Acetyl−L−cysteine −0.218 0.222 negtive
g__Veillonella N−Acetyl−L−cysteine 0.180 0.317 positive
g__Gardnerella N−Acetyl−L−cysteine −0.166 0.355 negtive
g__Prevotella_7 N−Acetyl−L−cysteine 0.121 0.504 positive
g__Neisseria N−Acetyl−L−cysteine 0.120 0.508 positive
g__Alloprevotella N−Acetyl−L−cysteine 0.112 0.536 positive
g__Tropheryma N−Acetyl−L−cysteine 0.102 0.573 positive
g__Leifsonia N−Acetyl−L−cysteine −0.095 0.600 negtive
g__Moraxella N−Acetyl−L−cysteine −0.089 0.621 negtive
g__Brevundimonas N−Acetyl−L−cysteine −0.073 0.685 negtive
g__Pseudoalteromonas N−Acetyl−L−cysteine 0.058 0.746 positive
g__Aeromonas N−Acetyl−L−cysteine −0.008 0.965 negtive
g__Streptococcus N−Acetyl−L−cysteine −0.003 0.987 negtive
g__Vibrio N−Acetyl−L−cysteine −0.001 0.996 negtive
g__Streptococcus N−Acetyl−L−phenylalanine 0.463 0.007 positive
g__Porphyromonas N−Acetyl−L−phenylalanine 0.424 0.014 positive
g__Lactobacillus N−Acetyl−L−phenylalanine −0.404 0.020 negtive
g__Veillonella N−Acetyl−L−phenylalanine 0.391 0.025 positive
g__Mycoplasma N−Acetyl−L−phenylalanine 0.325 0.065 positive
g__Acinetobacter N−Acetyl−L−phenylalanine −0.319 0.071 negtive
g__Alloprevotella N−Acetyl−L−phenylalanine 0.301 0.089 positive
g__Haemophilus N−Acetyl−L−phenylalanine 0.281 0.113 positive
g__Neisseria N−Acetyl−L−phenylalanine 0.281 0.113 positive
g__Prevotella N−Acetyl−L−phenylalanine 0.257 0.149 positive
g__Tropheryma N−Acetyl−L−phenylalanine 0.237 0.185 positive
g__Hydrogenophaga N−Acetyl−L−phenylalanine −0.233 0.191 negtive
g__Gardnerella N−Acetyl−L−phenylalanine −0.212 0.237 negtive
g__Prevotella_7 N−Acetyl−L−phenylalanine 0.153 0.397 positive
g__Vibrio N−Acetyl−L−phenylalanine −0.120 0.506 negtive
g__Moraxella N−Acetyl−L−phenylalanine 0.044 0.807 positive
g__Pseudoalteromonas N−Acetyl−L−phenylalanine −0.036 0.843 negtive
g__Aeromonas N−Acetyl−L−phenylalanine −0.022 0.901 negtive
g__Brevundimonas N−Acetyl−L−phenylalanine −0.020 0.911 negtive
g__Leifsonia N−Acetyl−L−phenylalanine −0.012 0.948 negtive
g__Haemophilus Neobyakangelicol 0.521 0.002 positive
g__Porphyromonas Neobyakangelicol 0.354 0.043 positive
g__Leifsonia Neobyakangelicol −0.310 0.079 negtive
g__Gardnerella Neobyakangelicol −0.310 0.079 negtive
g__Acinetobacter Neobyakangelicol −0.274 0.122 negtive
g__Veillonella Neobyakangelicol 0.263 0.139 positive
g__Streptococcus Neobyakangelicol 0.250 0.161 positive
g__Hydrogenophaga Neobyakangelicol −0.248 0.164 negtive
g__Tropheryma Neobyakangelicol 0.223 0.213 positive
g__Brevundimonas Neobyakangelicol −0.221 0.216 negtive
g__Prevotella Neobyakangelicol 0.190 0.290 positive
g__Prevotella_7 Neobyakangelicol 0.187 0.299 positive
g__Lactobacillus Neobyakangelicol −0.175 0.328 negtive
g__Vibrio Neobyakangelicol −0.146 0.418 negtive
g__Pseudoalteromonas Neobyakangelicol −0.111 0.537 negtive
g__Alloprevotella Neobyakangelicol 0.106 0.557 positive
g__Aeromonas Neobyakangelicol −0.082 0.649 negtive
g__Neisseria Neobyakangelicol 0.081 0.654 positive
g__Moraxella Neobyakangelicol −0.057 0.754 negtive
g__Mycoplasma Neobyakangelicol −0.022 0.903 negtive
g__Mycoplasma N−Formylmethionine 0.451 0.008 positive
g__Gardnerella N−Formylmethionine −0.394 0.023 negtive
g__Acinetobacter N−Formylmethionine −0.369 0.035 negtive
g__Lactobacillus N−Formylmethionine −0.363 0.038 negtive
g__Hydrogenophaga N−Formylmethionine −0.358 0.042 negtive
g__Haemophilus N−Formylmethionine 0.276 0.121 positive
g__Tropheryma N−Formylmethionine 0.214 0.231 positive
g__Moraxella N−Formylmethionine −0.203 0.257 negtive
g__Porphyromonas N−Formylmethionine 0.202 0.261 positive
g__Streptococcus N−Formylmethionine 0.165 0.358 positive
g__Neisseria N−Formylmethionine 0.117 0.517 positive
g__Alloprevotella N−Formylmethionine 0.115 0.523 positive
g__Veillonella N−Formylmethionine 0.108 0.549 positive
g__Pseudoalteromonas N−Formylmethionine 0.105 0.561 positive
g__Aeromonas N−Formylmethionine 0.103 0.569 positive
g__Prevotella N−Formylmethionine 0.084 0.642 positive
g__Vibrio N−Formylmethionine 0.046 0.801 positive
g__Prevotella_7 N−Formylmethionine −0.037 0.840 negtive
g__Brevundimonas N−Formylmethionine −0.030 0.868 negtive
g__Leifsonia N−Formylmethionine −0.028 0.877 negtive
g__Acinetobacter N−Nitrosodimethylamine 0.399 0.022 positive
g__Hydrogenophaga N−Nitrosodimethylamine 0.378 0.031 positive
g__Haemophilus N−Nitrosodimethylamine −0.280 0.114 negtive
g__Leifsonia N−Nitrosodimethylamine 0.213 0.233 positive
g__Mycoplasma N−Nitrosodimethylamine −0.197 0.272 negtive
g__Brevundimonas N−Nitrosodimethylamine 0.179 0.318 positive
g__Moraxella N−Nitrosodimethylamine 0.159 0.377 positive
g__Prevotella_7 N−Nitrosodimethylamine 0.149 0.409 positive
g__Veillonella N−Nitrosodimethylamine 0.139 0.442 positive
g__Streptococcus N−Nitrosodimethylamine 0.112 0.536 positive
g__Porphyromonas N−Nitrosodimethylamine −0.110 0.541 negtive
g__Gardnerella N−Nitrosodimethylamine −0.077 0.669 negtive
g__Aeromonas N−Nitrosodimethylamine 0.056 0.758 positive
g__Lactobacillus N−Nitrosodimethylamine 0.052 0.771 positive
g__Alloprevotella N−Nitrosodimethylamine −0.050 0.780 negtive
g__Pseudoalteromonas N−Nitrosodimethylamine 0.025 0.892 positive
g__Vibrio N−Nitrosodimethylamine 0.021 0.908 positive
g__Tropheryma N−Nitrosodimethylamine 0.020 0.910 positive
g__Prevotella N−Nitrosodimethylamine −0.015 0.934 negtive
g__Neisseria N−Nitrosodimethylamine −0.009 0.960 negtive
g__Lactobacillus O−Phospho−L−serine −0.261 0.142 negtive
g__Acinetobacter O−Phospho−L−serine −0.259 0.145 negtive
g__Hydrogenophaga O−Phospho−L−serine −0.247 0.165 negtive
g__Mycoplasma O−Phospho−L−serine 0.216 0.228 positive
g__Tropheryma O−Phospho−L−serine 0.207 0.249 positive
g__Streptococcus O−Phospho−L−serine −0.192 0.286 negtive
g__Prevotella_7 O−Phospho−L−serine −0.142 0.430 negtive
g__Moraxella O−Phospho−L−serine −0.119 0.511 negtive
g__Neisseria O−Phospho−L−serine −0.090 0.620 negtive
g__Gardnerella O−Phospho−L−serine −0.090 0.620 negtive
g__Vibrio O−Phospho−L−serine −0.078 0.665 negtive
g__Aeromonas O−Phospho−L−serine −0.058 0.748 negtive
g__Prevotella O−Phospho−L−serine 0.052 0.774 positive
g__Leifsonia O−Phospho−L−serine −0.052 0.774 negtive
g__Brevundimonas O−Phospho−L−serine −0.048 0.788 negtive
g__Alloprevotella O−Phospho−L−serine −0.034 0.850 negtive
g__Porphyromonas O−Phospho−L−serine −0.033 0.854 negtive
g__Veillonella O−Phospho−L−serine 0.012 0.948 positive
g__Pseudoalteromonas O−Phospho−L−serine −0.002 0.993 negtive
g__Haemophilus O−Phospho−L−serine −0.001 0.995 negtive
g__Hydrogenophaga Pelargonidin −0.542 0.001 negtive
g__Acinetobacter Pelargonidin −0.429 0.013 negtive
g__Mycoplasma Pelargonidin 0.423 0.014 positive
g__Moraxella Pelargonidin −0.417 0.016 negtive
g__Porphyromonas Pelargonidin 0.335 0.057 positive
g__Brevundimonas Pelargonidin −0.321 0.069 negtive
g__Haemophilus Pelargonidin 0.217 0.224 positive
g__Prevotella Pelargonidin 0.217 0.225 positive
g__Gardnerella Pelargonidin −0.197 0.272 negtive
g__Veillonella Pelargonidin 0.162 0.368 positive
g__Leifsonia Pelargonidin −0.151 0.403 negtive
g__Alloprevotella Pelargonidin 0.143 0.427 positive
g__Aeromonas Pelargonidin −0.126 0.483 negtive
g__Lactobacillus Pelargonidin −0.119 0.508 negtive
g__Vibrio Pelargonidin −0.094 0.602 negtive
g__Neisseria Pelargonidin 0.082 0.651 positive
g__Tropheryma Pelargonidin −0.067 0.711 negtive
g__Pseudoalteromonas Pelargonidin −0.065 0.718 negtive
g__Streptococcus Pelargonidin 0.006 0.973 positive
g__Prevotella_7 Pelargonidin −0.001 0.996 negtive
g__Hydrogenophaga Pentedrone 0.607 0.000 positive
g__Acinetobacter Pentedrone 0.518 0.002 positive
g__Moraxella Pentedrone 0.379 0.030 positive
g__Brevundimonas Pentedrone 0.346 0.049 positive
g__Haemophilus Pentedrone −0.328 0.062 negtive
g__Porphyromonas Pentedrone −0.316 0.073 negtive
g__Leifsonia Pentedrone 0.253 0.156 positive
g__Mycoplasma Pentedrone −0.220 0.219 negtive
g__Aeromonas Pentedrone 0.141 0.435 positive
g__Tropheryma Pentedrone 0.135 0.455 positive
g__Prevotella Pentedrone −0.122 0.500 negtive
g__Pseudoalteromonas Pentedrone 0.116 0.520 positive
g__Veillonella Pentedrone −0.115 0.526 negtive
g__Gardnerella Pentedrone 0.108 0.548 positive
g__Vibrio Pentedrone 0.104 0.566 positive
g__Neisseria Pentedrone −0.084 0.643 negtive
g__Alloprevotella Pentedrone −0.069 0.703 negtive
g__Lactobacillus Pentedrone −0.045 0.804 negtive
g__Streptococcus Pentedrone −0.029 0.872 negtive
g__Prevotella_7 Pentedrone 0.012 0.946 positive
g__Mycoplasma PROPANIL 0.304 0.086 positive
g__Moraxella PROPANIL −0.252 0.157 negtive
g__Acinetobacter PROPANIL −0.181 0.312 negtive
g__Streptococcus PROPANIL −0.178 0.323 negtive
g__Hydrogenophaga PROPANIL −0.168 0.349 negtive
g__Prevotella PROPANIL 0.107 0.553 positive
g__Leifsonia PROPANIL 0.058 0.748 positive
g__Haemophilus PROPANIL 0.051 0.779 positive
g__Gardnerella PROPANIL −0.050 0.784 negtive
g__Lactobacillus PROPANIL −0.044 0.808 negtive
g__Aeromonas PROPANIL −0.038 0.834 negtive
g__Prevotella_7 PROPANIL 0.036 0.844 positive
g__Vibrio PROPANIL 0.034 0.852 positive
g__Brevundimonas PROPANIL −0.032 0.858 negtive
g__Pseudoalteromonas PROPANIL 0.030 0.869 positive
g__Alloprevotella PROPANIL 0.025 0.888 positive
g__Porphyromonas PROPANIL 0.024 0.894 positive
g__Veillonella PROPANIL 0.021 0.908 positive
g__Tropheryma PROPANIL 0.003 0.985 positive
g__Neisseria PROPANIL 0 1
g__Porphyromonas Propyzamide 0.543 0.001 positive
g__Haemophilus Propyzamide 0.531 0.001 positive
g__Hydrogenophaga Propyzamide −0.422 0.015 negtive
g__Prevotella Propyzamide 0.421 0.015 positive
g__Alloprevotella Propyzamide 0.386 0.027 positive
g__Veillonella Propyzamide 0.369 0.034 positive
g__Acinetobacter Propyzamide −0.362 0.039 negtive
g__Neisseria Propyzamide 0.339 0.054 positive
g__Moraxella Propyzamide −0.313 0.076 negtive
g__Brevundimonas Propyzamide −0.287 0.105 negtive
g__Prevotella_7 Propyzamide 0.261 0.142 positive
g__Tropheryma Propyzamide −0.204 0.255 negtive
g__Gardnerella Propyzamide −0.203 0.256 negtive
g__Leifsonia Propyzamide −0.185 0.302 negtive
g__Vibrio Propyzamide −0.152 0.400 negtive
g__Streptococcus Propyzamide 0.141 0.434 positive
g__Aeromonas Propyzamide −0.135 0.452 negtive
g__Pseudoalteromonas Propyzamide −0.103 0.569 negtive
g__Lactobacillus Propyzamide −0.058 0.746 negtive
g__Mycoplasma Propyzamide 0.039 0.828 positive
g__Mycoplasma Pyroglutamic acid 0.353 0.044 positive
g__Lactobacillus Pyroglutamic acid −0.341 0.053 negtive
g__Tropheryma Pyroglutamic acid 0.267 0.132 positive
g__Hydrogenophaga Pyroglutamic acid −0.25 0.160 negtive
g__Vibrio Pyroglutamic acid −0.236 0.186 negtive
g__Acinetobacter Pyroglutamic acid −0.211 0.239 negtive
g__Haemophilus Pyroglutamic acid 0.208 0.245 positive
g__Alloprevotella Pyroglutamic acid 0.205 0.251 positive
g__Gardnerella Pyroglutamic acid −0.203 0.256 negtive
g__Porphyromonas Pyroglutamic acid 0.193 0.282 positive
g__Prevotella Pyroglutamic acid 0.190 0.290 positive
g__Neisseria Pyroglutamic acid 0.185 0.301 positive
g__Veillonella Pyroglutamic acid 0.175 0.329 positive
g__Streptococcus Pyroglutamic acid 0.149 0.407 positive
g__Aeromonas Pyroglutamic acid −0.149 0.408 negtive
g__Brevundimonas Pyroglutamic acid −0.108 0.547 negtive
g__Pseudoalteromonas Pyroglutamic acid −0.106 0.557 negtive
g__Leifsonia Pyroglutamic acid −0.098 0.589 negtive
g__Moraxella Pyroglutamic acid −0.052 0.773 negtive
g__Prevotella_7 Pyroglutamic acid 0.043 0.811 positive
g__Hydrogenophaga S−adenosylmethionine −0.464 0.007 negtive
g__Prevotella_7 S−adenosylmethionine −0.426 0.013 negtive
g__Acinetobacter S−adenosylmethionine −0.390 0.026 negtive
g__Leifsonia S−adenosylmethionine −0.387 0.026 negtive
g__Brevundimonas S−adenosylmethionine −0.372 0.034 negtive
g__Streptococcus S−adenosylmethionine −0.358 0.041 negtive
g__Veillonella S−adenosylmethionine −0.339 0.054 negtive
g__Lactobacillus S−adenosylmethionine 0.311 0.079 positive
g__Alloprevotella S−adenosylmethionine −0.306 0.083 negtive
g__Moraxella S−adenosylmethionine −0.301 0.088 negtive
g__Vibrio S−adenosylmethionine −0.263 0.138 negtive
g__Prevotella S−adenosylmethionine −0.204 0.256 negtive
g__Neisseria S−adenosylmethionine −0.184 0.304 negtive
g__Aeromonas S−adenosylmethionine −0.183 0.307 negtive
g__Pseudoalteromonas S−adenosylmethionine −0.168 0.351 negtive
g__Porphyromonas S−adenosylmethionine −0.120 0.505 negtive
g__Haemophilus S−adenosylmethionine 0.069 0.705 positive
g__Mycoplasma S−adenosylmethionine 0.067 0.709 positive
g__Tropheryma S−adenosylmethionine −0.016 0.931 negtive
g__Gardnerella S−adenosylmethionine 0.011 0.951 positive
g__Hydrogenophaga Sedoheptulose 7−phosphate −0.699 0.000 negtive
g__Acinetobacter Sedoheptulose 7−phosphate −0.541 0.001 negtive
g__Brevundimonas Sedoheptulose 7−phosphate −0.514 0.003 negtive
g__Leifsonia Sedoheptulose 7−phosphate −0.452 0.008 negtive
g__Porphyromonas Sedoheptulose 7−phosphate 0.438 0.011 positive
g__Haemophilus Sedoheptulose 7−phosphate 0.419 0.015 positive
g__Vibrio Sedoheptulose 7−phosphate −0.408 0.018 negtive
g__Aeromonas Sedoheptulose 7−phosphate −0.391 0.025 negtive
g__Pseudoalteromonas Sedoheptulose 7−phosphate −0.381 0.029 negtive
g__Moraxella Sedoheptulose 7−phosphate −0.303 0.087 negtive
g__Veillonella Sedoheptulose 7−phosphate 0.195 0.276 positive
g__Prevotella Sedoheptulose 7−phosphate 0.191 0.287 positive
g__Neisseria Sedoheptulose 7−phosphate 0.137 0.446 positive
g__Gardnerella Sedoheptulose 7−phosphate −0.130 0.470 negtive
g__Streptococcus Sedoheptulose 7−phosphate 0.119 0.511 positive
g__Alloprevotella Sedoheptulose 7−phosphate 0.093 0.605 positive
g__Lactobacillus Sedoheptulose 7−phosphate 0.053 0.768 positive
g__Mycoplasma Sedoheptulose 7−phosphate 0.052 0.772 positive
g__Tropheryma Sedoheptulose 7−phosphate 0.023 0.897 positive
g__Prevotella_7 Sedoheptulose 7−phosphate 0.017 0.924 positive
g__Vibrio Serotonin 0.334 0.057 positive
g__Leifsonia Serotonin 0.290 0.101 positive
g__Pseudoalteromonas Serotonin 0.266 0.134 positive
g__Aeromonas Serotonin 0.238 0.182 positive
g__Neisseria Serotonin 0.229 0.201 positive
g__Prevotella_7 Serotonin 0.185 0.302 positive
g__Hydrogenophaga Serotonin 0.171 0.339 positive
g__Brevundimonas Serotonin 0.160 0.373 positive
g__Acinetobacter Serotonin 0.154 0.390 positive
g__Alloprevotella Serotonin 0.153 0.394 positive
g__Porphyromonas Serotonin 0.111 0.540 positive
g__Gardnerella Serotonin 0.110 0.544 positive
g__Prevotella Serotonin 0.094 0.603 positive
g__Veillonella Serotonin 0.080 0.656 positive
g__Mycoplasma Serotonin −0.069 0.703 negtive
g__Haemophilus Serotonin 0.056 0.756 positive
g__Streptococcus Serotonin 0.046 0.800 positive
g__Tropheryma Serotonin −0.038 0.835 negtive
g__Lactobacillus Serotonin 0.035 0.845 positive
g__Moraxella Serotonin −0.007 0.971 negtive
g__Mycoplasma Sojagol −0.423 0.014 negtive
g__Acinetobacter Sojagol 0.366 0.037 positive
g__Lactobacillus Sojagol 0.357 0.042 positive
g__Hydrogenophaga Sojagol 0.317 0.073 positive
g__Moraxella Sojagol 0.295 0.095 positive
g__Porphyromonas Sojagol −0.252 0.158 negtive
g__Gardnerella Sojagol 0.236 0.185 positive
g__Veillonella Sojagol −0.232 0.193 negtive
g__Tropheryma Sojagol −0.148 0.411 negtive
g__Haemophilus Sojagol −0.141 0.434 negtive
g__Brevundimonas Sojagol 0.101 0.576 positive
g__Leifsonia Sojagol 0.094 0.602 positive
g__Pseudoalteromonas Sojagol −0.078 0.668 negtive
g__Streptococcus Sojagol −0.072 0.692 negtive
g__Prevotella Sojagol −0.063 0.726 negtive
g__Aeromonas Sojagol −0.063 0.727 negtive
g__Vibrio Sojagol −0.063 0.730 negtive
g__Alloprevotella Sojagol −0.039 0.828 negtive
g__Prevotella_7 Sojagol −0.008 0.963 negtive
g__Neisseria Sojagol −0.004 0.981 negtive
g__Mycoplasma Thioacetamide 0.393 0.024 positive
g__Hydrogenophaga Thioacetamide −0.308 0.082 negtive
g__Acinetobacter Thioacetamide −0.264 0.137 negtive
g__Vibrio Thioacetamide −0.259 0.146 negtive
g__Tropheryma Thioacetamide 0.247 0.166 positive
g__Brevundimonas Thioacetamide −0.201 0.260 negtive
g__Aeromonas Thioacetamide −0.198 0.270 negtive
g__Lactobacillus Thioacetamide −0.196 0.273 negtive
g__Pseudoalteromonas Thioacetamide −0.163 0.364 negtive
g__Leifsonia Thioacetamide −0.147 0.413 negtive
g__Moraxella Thioacetamide −0.128 0.478 negtive
g__Haemophilus Thioacetamide 0.103 0.567 positive
g__Porphyromonas Thioacetamide 0.101 0.577 positive
g__Gardnerella Thioacetamide −0.084 0.641 negtive
g__Prevotella Thioacetamide 0.083 0.645 positive
g__Alloprevotella Thioacetamide 0.078 0.666 positive
g__Neisseria Thioacetamide 0.077 0.670 positive
g__Veillonella Thioacetamide 0.063 0.729 positive
g__Streptococcus Thioacetamide 0.054 0.767 positive
g__Prevotella_7 Thioacetamide 0.005 0.977 positive
g__Brevundimonas XMP 0.422 0.015 positive
g__Acinetobacter XMP 0.364 0.038 positive
g__Aeromonas XMP 0.360 0.040 positive
g__Pseudoalteromonas XMP 0.355 0.042 positive
g__Prevotella XMP −0.322 0.068 negtive
g__Leifsonia XMP 0.310 0.079 positive
g__Vibrio XMP 0.291 0.100 positive
g__Hydrogenophaga XMP 0.233 0.191 positive
g__Lactobacillus XMP −0.230 0.197 negtive
g__Moraxella XMP 0.223 0.213 positive
g__Alloprevotella XMP −0.175 0.331 negtive
g__Haemophilus XMP −0.155 0.390 negtive
g__Streptococcus XMP −0.129 0.473 negtive
g__Porphyromonas XMP −0.120 0.505 negtive
g__Mycoplasma XMP 0.074 0.681 positive
g__Veillonella XMP −0.056 0.755 negtive
g__Neisseria XMP −0.027 0.879 negtive
g__Tropheryma XMP 0.020 0.914 positive
g__Prevotella_7 XMP 0.012 0.948 positive
g__Gardnerella XMP −0.004 0.984 negtive
Pathway Description # compounds_ num(dem) Compounds(dem) Total Percent Rich Factor Raw_p -ln(p) ms2_description
hsa01100 Metabolic pathways 27 C00144;C00164;C00655;C02814;C030 56;C01586;C00793;C00120;C05904;C0 0037;C01112;C00092;C00989;C01005; C00160;C06102;C00159;C00858;C007 19;C03519;C00019;C04501;C05382;C0 0197;C00780;C01879;C00246 2974 87.097 0.009 0.016 4.146 Global and overview maps
hsa01200 Carbon metabolism 6 C00160;C05382;C00037;C00197;C009 89;C01005 114 19.355 0.053 0.000 8.992 Global and overview maps
hsa00270 Cysteine and methionine metabolism 5 C00019;C00793;C00197;C0314 5;C01005 66 16.129 0.076 0.000 9.342 Amino acid metabolism
hsa01230 Biosynthesis of amino acids 5 C00019;C05382;C00197;C0003 7;C01005 128 16.129 0.039 0.002 6.267 Global and overview maps
hsa00260 Glycine, serine and threonine metabolism 4 C01005;C00197;C00719;C00037 48 12.903 0.083 0.000 8.005 Amino acid metabolism
hsa02010 ABC transporters 4 C00159;C00719;C00120;C00037 138 12.903 0.029 0.016 4.145 Membrane transport
hsa01250 Biosynthesis of nucleotide sugars 4 C00159;C04501;C05382;C01112 200 12.903 0.02 0.052 2.954 Global and overview maps
hsa01240 Biosynthesis of cofactors 4 C00197;C00120;C00037;C00019 328 12.903 0.012 0.204 1.591 Global and overview maps
hsa05230 Central carbon metabolism in cancer 3 C00092;C00197;C00037 37 9.677 0.081 0.002 6.128 Cancer: overview
hsa00650 Butanoate metabolism 3 C00164;C00989;C00246 47 9.677 0.064 0.004 5.441 Carbohydrate metabolism
hsa00630 Glyoxylate and dicarboxylate metabolism 3 C00160;C00197;C00037 62 9.677 0.048 0.009 4.666 Carbohydrate metabolism
hsa00230 Purine metabolism 3 C00144;C00037;C00655 99 9.677 0.030 0.033 3.421 Nucleotide metabolism
hsa04721 Synaptic vesicle cycle 2 C00780;C00037 12 6.452 0.167 0.003 5.769 Nervous system
hsa04973 Carbohydrate digestion and absorption 2 C00092;C00246 27 6.452 0.074 0.016 4.165 Digestive system
hsa04742 Taste transduction 2 C00144;C00780 32 6.452 0.063 0.021 3.841 Sensory system
hsa00030 Pentose phosphate pathway 2 C00197;C05382 35 6.452 0.057 0.025 3.672 Carbohydrate metabolism
hsa00480 Glutathione metabolism 2 C01879;C00037 38 6.452 0.053 0.030 3.519 Metabolism of other amino acids
hsa04974 Protein digestion and absorption 2 C00037;C00246 47 6.452 0.043 0.044 3.128 Digestive system
hsa00120 Primary bile acid biosynthesis 2 C15519;C00037 47 6.452 0.043 0.044 3.128 Lipid metabolism
hsa00310 Lysine degradation 2 C00164;C00037 50 6.452 0.04 0.049 3.016 Amino acid metabolism
hsa04080 Neuroactive ligand-receptor interaction 2 C00780;C00037 52 6.452 0.038 0.053 2.946 Signaling molecules and interaction
hsa00970 Aminoacyl-tRNA biosynthesis 2 C01005;C00037 52 6.452 0.038 0.053 2.946 Translation
hsa05208 Chemical carcinogenesis - reactive oxygen species 2 C02814;C00019 57 6.452 0.035 0.062 2.782 Cancer: overview
hsa00470 D-Amino acid metabolism 2 C00793;C00037 67 6.452 0.030 0.082 2.500 Metabolism of other amino acids
hsa00520 Amino sugar and nucleotide sugar metabolism 2 C00159;C04501 118 6.452 0.017 0.206 1.581 Carbohydrate metabolism
hsa04142 Lysosome 1 C00159 4 3.226 0.25 0.028 3.565 Transport and catabolism
hsa04740 Olfactory transduction 1 C00144 8 3.226 0.125 0.056 2.886 Sensory system
hsa04744 Phototransduction 1 C00144 8 3.226 0.125 0.056 2.886 Sensory system
hsa04022 cGMP-PKG signaling pathway 1 C00144 10 3.226 0.1 0.069 2.669 Signal transduction
hsa04122 Sulfur relay system 1 C00019 11 3.226 0.091 0.076 2.578 Folding, sorting and degradation
hsa04540 Gap junction 1 C00780 11 3.226 0.091 0.076 2.578 Cellular community – eukaryotes
hsa04625 C-type lectin receptor signaling pathway 1 C00159 11 3.226 0.091 0.076 2.578 Immune system
hsa04917 Prolactin signaling pathway 1 C00092 11 3.226 0.091 0.076 2.578 Endocrine system
hsa04911 Insulin secretion 1 C00092 12 3.226 0.083 0.083 2.494 Endocrine system
hsa01523 Antifolate resistance 1 C00144 17 3.226 0.059 0.115 2.163 Drug resistance: antineoplastic
hsa04931 Insulin resistance 1 C00092 19 3.226 0.053 0.128 2.058 Endocrine and metabolic disease
hsa04918 Thyroid hormone synthesis 1 C00092 21 3.226 0.048 0.140 1.965 Endocrine system
hsa04024 cAMP signaling pathway 1 C00780 25 3.226 0.04 0.165 1.804 Signal transduction
hsa04922 Glucagon signaling pathway 1 C00197 26 3.226 0.038 0.171 1.768 Endocrine system
hsa00780 Biotin metabolism 1 C00120 29 3.226 0.034 0.188 1.669 Metabolism of cofactors and vitamins
hsa04978 Mineral absorption 1 C00037 29 3.226 0.034 0.188 1.669 Digestive system
hsa05207 Chemical carcinogenesis - receptor activation 1 C00780 29 3.226 0.034 0.188 1.669 Cancer: overview
hsa00010 Glycolysis / Gluconeogenesis 1 C00197 31 3.226 0.032 0.200 1.609 Carbohydrate metabolism
hsa00730 Thiamine metabolism 1 C00037 31 3.226 0.032 0.200 1.609 Metabolism of cofactors and vitamins
hsa00620 Pyruvate metabolism 1 C03248 32 3.226 0.031 0.206 1.581 Carbohydrate metabolism
hsa04750 Inflammatory mediator regulation of TRP channels 1 C00780 35 3.226 0.029 0.223 1.501 Sensory system
hsa00500 Starch and sucrose metabolism 1 C00092 37 3.226 0.027 0.234 1.453 Carbohydrate metabolism
hsa00561 Glycerolipid metabolism 1 C00197 38 3.226 0.026 0.239 1.429 Lipid metabolism
hsa04977 Vitamin digestion and absorption 1 C00120 39 3.226 0.026 0.245 1.407 Digestive system
hsa05415 Diabetic cardiomyopathy 1 C00092 39 3.226 0.026 0.245 1.407 Cardiovascular disease
hsa04726 Serotonergic synapse 1 C00780 42 3.226 0.024 0.261 1.342 Nervous system
hsa00280 Valine, leucine and isoleucine degradation 1 C00164 42 3.226 0.024 0.261 1.342 Amino acid metabolism
hsa00052 Galactose metabolism 1 C00159 46 3.226 0.022 0.282 1.265 Carbohydrate metabolism
hsa00562 Inositol phosphate metabolism 1 C00092 47 3.226 0.021 0.287 1.247 Carbohydrate metabolism
hsa00360 Phenylalanine metabolism 1 C03519 49 3.226 0.020 0.298 1.211 Amino acid metabolism
hsa00051 Fructose and mannose metabolism 1 C00159 54 3.226 0.019 0.323 1.131 Carbohydrate metabolism
hsa00760 Nicotinate and nicotinamide metabolism 1 C03056 55 3.226 0.018 0.328 1.116 Metabolism of cofactors and vitamins
hsa00440 Phosphonate and phosphinate metabolism 1 C00037 56 3.226 0.018 0.333 1.101 Metabolism of other amino acids
hsa00330 Arginine and proline metabolism 1 C00019 72 3.226 0.014 0.406 0.902 Amino acid metabolism
hsa00350 Tyrosine metabolism 1 C00164 78 3.226 0.013 0.431 0.841 Amino acid metabolism
hsa05204 Chemical carcinogenesis - DNA adducts 1 C14704 81 3.226 0.012 0.444 0.813 Cancer: overview
hsa00524 Neomycin, kanamycin and gentamicin biosynthesis 1 C00092 81 3.226 0.012 0.444 0.813 Biosynthesis of other secondary metabolites
hsa00380 Tryptophan metabolism 1 C00780 83 3.226 0.012 0.452 0.795 Amino acid metabolism
hsa04976 Bile secretion 1 C00780 97 3.226 0.010 0.505 0.683 Digestive system
hsa00860 Porphyrin metabolism 1 C00037 148 3.226 0.007 0.660 0.415 Metabolism of cofactors and vitamins