Table 1. Gut microbiota-derived metabolites found at abnormal levels and correlations between metabolites and gut bacteria in obesity.
| References | Participants | Biofluid | Platform | Fecal microbiota analysis method | Correlations between metabolites and gut bacteria | Differences in metabolites and gut microbiota between obese and control |
|---|---|---|---|---|---|---|
| Calvani et al. (2010) [25] | 15 morbidly obese insulin-resistant male patients and 10 age-matched controls | Urine samples | Untargeted: high-resolution proton NMR (1H NMR) spectroscopy for gut microbiome-derived metabolites | - | - Correlation between 2-hydroxyisobutyrate and Faecalibacterium prausnitzii | ↑2-hydroxyisobutyrate in obese ↓ hippuric acid, trigonelline and xanthine in obese |
| Tiihonen et al. (2010) [21] | 20 obese subjects and 20 normal weight subjects | Fecal samples | Targeted: GC–MS for phenolic and acidic compounds, GC for protein and fat and high pH ion exchange chromatography (HPLC) and a pulsed electrochemical detector for soluble and insoluble carbohydrates | Quantitative real-time PCR | - | ↑ Branched-chain fatty acids, phenolic acids, lactic acid, 2-methylbutyric acid, valeric acid, isovaleric acid, 3-OH-benzenepropanoic acid, di-
and hydroxy acids in obese subjects ↑sulphate-reducing bacteria and Bacteroides in normal weight subjects |
| Payne et al. (2011) [23] | 15 obese and 15 normal-weight Swiss children | Fecal samples | Targeted: high pressure liquid chromatography (HPLC) for SCFA, branched chain fatty acids and intermediate metabolites | qPCR and temperature gradient gel electrophoresis (TGGE) | - Correlations between lactate and butyrate and lactate-utilizing butyrate-producing species including clostridial cluster XIVa species
Eubacterium hallii and Anaerostipes caccae in obese children. - Correlations between propionate and Gram-negative Bacteroides–Prevotella group and Gram-positive species of clostridial cluster IX. |
↑ isobutyrate, formate, butyrate and propionate in obese ↑ lactate and valerate in normal-weight subjects |
| Raman et al. (2013) [26] | 30 obese NAFLD patients and 30 healthy controls | Fecal samples | Targeted: gas chromatography–mass spectrometry for volatile organic compounds | Multitag pyrosequencing | - | ↑ Lactobacillus species and phylum Firmicutes (Lachnospiraceae; genera, Dorea,
Robinsoniella, and Roseburia) in obese ↓ Ruminococcaceae; genus, Oscillibacter in obese ↑ Fecal ester compounds including aliphatic esters of ethanoic, propanoic, butanoic and pentanoic acids in obese |
| Bondia-Pons et al. (2014) [19] | 16 Finnish monozygotic twin pairs discordant for weight and 9 concordant pairs | Plasma | Untargeted: Two-dimensional gas chromatography coupled to time-of-flight mass spectrometry (GC_GC-TOFMS) for polar metabolites and
ultraperformance liquid chromatography coupled to quadrupole-TOFMS (UPLC-QTOFMS) for molecular lipids Targeted: UPLC coupled to triple-quadrupole MS (UPLC-QqQMS) for bile acids (BAs) |
Denaturing gradient gel electrophoresis (DGGE) | - Negative correlations between bifidobacterial diversity and clusters of carbohydrates and amino acids and long-chain TGs. - Positive correlations between Lachnospiraceae diversity and clusters of amino acids and TCA cycle metabolites. - Positive correlations between Bacteroides diversity and clusters of BA lithocholic acid (LCA) and phosphatidyl ethanolamines. - Positive correlations between Ruminococcaceae diversity and clusters of long-chain polyunsaturated fatty acid (PUFA)-containing TGs. |
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| Druart et al. (2014) [29] | Obese women | Serum | Targeted: gas–liquid chromatography for PUFA-derived bacterial metabolites | phylogenetic microarray and qPCR analysis of 16S rDNA | - Positive correlations between CLnA cis-9,trans-11,cis-15-18:3 and bifidobacteria, E. ventriosum and lactobacilli. - Positive correlations between CLA cis-9,cis-11-18:2 and bifidobacteria and Eubacterium ventriosum. - Positive correlations between CLA trans-9,trans-11-18:2 and E. ventriosum. |
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| Ahmad et al. (2016) [28] | 50 participants with normal BMI (18.5 to <25 kg/m2) and 50 obese (BMI > 30 kg/m2) | Fasting plasma and serum samples and urine specimens | Untargeted: NMR-based metabolic profiling | _ | - | ↑urinary excretion of hippurate, phenylacetylglutamine, 4-cresyl sulfate and formate in the lean group ↑urinary excretion of metabolites associated with bacterial degradation of choline such as TMA and DMA in the obese group ↓urinary excretion of indoxyl sulfate in the obese group |
| Liu et al. (2017) [9] | 257 young Chinese obese individuals and lean controls | Serum | Untargeted: high performance liquid chromatograph (HPLC)-MS Targeted: ultra-high performance liquid chromatography (UHPLC) coupled to a Shimadzu 8050 Triple Quad mass spectrometry for amino acids |
shotgun sequencing | - Negative correlations between phenylalanine, tyrosine, leucine, isoleucine and valine and Bacteroides species including
B. thetaiotaomicron, B. intestinalis, B. ovatus and B. uniformis
- Negative correlations between glutamate and B. thetaiotaomicron - Positive correlations between glutamate and Ruminococcus sp., D. longicatena, C. comes |
↑Phenylalanine, tyrosine, leucine, isoleucine, valine and glutamate in obese |
| Org et al. (2017) [20] | 531 middle-aged Finnish men | Serum and plasma | Targeted: nuclear magnetic resonance (NMR) spectroscopy platform for lipids, lipoproteins, fatty acids, amino acids, ketone bodies and glycolysis precursor molecules and liquid chromatography with on-line tandem mass spectrometry (LC-MS/MS) for TMAO, choline, betaine, and carnitine | 16S ribosomal RNA gene sequencing | - correlation between acetate and microbial diversity - Positive correlation between glutamine, glycated hemoglobin and acetate and microbial richness - Positive correlations between acetate and phylum Tenericutes, family Christensenellaceae, unclassified Clostridales, Peptococcaceae, and several members of family Clostridiaceae - Negative correlations between acetate and Blautia and Oscillospira - Positive correlations between Blautia and saturated, monounsaturated fatty acids, pyruvate and glycerol, isoleucine and valine - Negative correlations between Blautia and polyunsaturated fatty acids, including omega-3, 22:6 docosahexaenoic acid, omega-6, and 18:22 linoleic acids - Positive correlation between glutamine and Clostridales - Negative correlations between isoleucine and valine and Christensenellaceae - Positive correlation between TMAO and Peptococcaceae and Prevotella - Negative correlation between TMAO and Faecalibacterium prausnitzii |
↑ Collinsella with higher levels of glycerol and phenylalanine in obese subjects ↑ phylum Tenericutes and family Christensenellaceae with higher levels of acetate in normal-weight subjects ↑ Blautia with higher levels of BCAA (isoleucine and leucine), alanine, glycerol, and pyruvate in obese subjects ↓Methanobacteriaceae with higher levels of glycerol and total and monounsaturated fatty acid in obese subjects |
| Houttu et al. (2017) [22] | 52 overweight and 47 obese pregnant women in early pregnancy | Serum | Untargeted: high-throughput proton NMR metabolomics platform for lipids, amino acids and GlycA | 16S ribosomal RNA gene sequencing | - Correlations between Prevotella copri and branched chain amino acids | ↑several VLDL subclasses and isoleucine, leucine, valine, phenylalanine and GlycA in obese pregnant women. ↓ lipids in certain HDL subclasses and omega-6 fatty acid, 18:2 linoleic acid in obese pregnant women ↑bacterial family Prevotellaceae, genus Prevotella and species copri in obese pregnant women ↓ Prevotella uniformis in obese pregnant women |
| López-Contreras et al. (2017) [27] | 67 normal-weight and 71 obese children aged 6–12 years | Serum | Targeted: mass spectrometry for amino acids | 16S rRNA sequencing | - Negative correlation between Bacteroides eggerthii and citrulline - Negative correlation between Bacteroides plebeius and unclassified Christensenellaceae and phenylalanine - Negative correlation between unclassified Christensenellaceae and arginine, methionine and ornithine |
↑ BCAA, leucine and valine, aromatic amino acids, phenylalanine and tyrosine in obese children ↑B. plebeius and unclassified Christensenellaceae in normal-weight children |
| Piening et al. (2018) [24] | 23 healthy participants with BMI 25–35 kg/m2 No control group | Plasma | Untargeted: LC-MS | 16S ribosomal RNA gene sequencing and whole genome metagenomic shotgun sequencing | - Correlation between Bacteroides vulgatus and BCAA metabolism - Positive correlation between antioxidant 3-indolepropionic acid and Proteobacteria in the insulin resistant subjects - Positive correlation between N6-trimethyllysine and phylum Proteobacteria in the insulin sensitive subjects |
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