Gut Microbiota and Metabolic Endotoxemia in Young Obese Mexican Subjects

From BugSigDB
Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/31
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Radilla-Vázquez RB, Parra-Rojas I, Martínez-Hernández NE, Márquez-Sandoval YF, Illades-Aguiar B, Castro-Alarcón N
Journal
Obesity facts
Year
2016
BACKGROUND: The gut microbiota plays an important role in human metabolism; previous studies suggest that the imbalance can cause a metabolic endotoxemia that may be linked to weight gain and insulin resistance. The purpose of this study was to investigate the relationship between the gut microbiota composition, the lipopolysaccharide levels and the metabolic profile in obese and normal-weight young subjects. METHODS: We studied 32 obese (BMI ≥ 30 kg/m2) and 32 normal-weight subjects (BMI = 18.5-24.9 kg/m2), aged 18-25 years. Quantification of intestinal bacteria was performed by real-time PCR. Endotoxin units were determined with the test QCL-1000, and biochemical profile was performed under a standard protocol of Spinreact. RESULTS: Obese individuals had a BMI of 34.5 (32.9-36.45) kg/m2, increased triglycerides (123 vs. 70 mg/dl), total cholesterol (168 vs. 142 mg/dl), and LDL-cholesterol (114 vs. 96.5 mg/dl). In obese subjects body temperature was higher than in normal-weight subjects. We found a greater number of Clostridum leptum and Lactobacillus (p < 0.001) and lower numbers of Prevotella and Escherichia coli (p < 0.001) in the obese group. A decrease of E. coli was associated with an increased risk of lipopolysaccharide levels ranging from 1 to 1.3 EU/ml. A positive correlation was found between serum lipopolysaccharides and BMI (r = 0.46, p = 0.008), triglyceride levels (r = 0.44, p = 0.011) as well as waist circumference (r = 0.34, p = 0.040), being more evident in young obese females. CONCLUSION: Subclinical metabolic endotoxemia determined by serum concentration of lipopolysaccharides was related to the smallest amount of E. coli, high triglyceride levels, and central adiposity in obese young persons.

Experiment 1


Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/31

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): Claregrieve1, WikiWorks, Victoria

Subjects

Location of subjects
Mexico
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Obesity Adiposis,Adiposity,Obese,Obese (finding),obesity,Obesity (disorder),Obesity [Ambiguous],obesity disease,obesity disorder,Obesity NOS,Obesity, unspecified,Overweight and obesity,Obesity
Group 0 name Corresponds to the control (unexposed) group for case-control studies
normal weight
Group 1 name Corresponds to the case (exposed) group for case-control studies
obese
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
obese individuals (BMI >=30) both sexes aged between 18 to 25 years
Group 0 sample size Number of subjects in the control (unexposed) group
32
Group 1 sample size Number of subjects in the case (exposed) group
32
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
4 weeks

Lab analysis

Sequencing type
WMS
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
Not specified
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
RT-qPCR

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
Mann-Whitney (Wilcoxon)
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
No


Signature 1

Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/31

Curated date: 2021/01/10

Curator: Mst Afroza Parvin

Revision editor(s): Claregrieve1, WikiWorks

Source: Table 3

Description: Differential microbial abundance in obese and normal-weight young subjects

Abundance in Group 1: increased abundance in obese

NCBI Quality ControlLinks
[Clostridium] leptum CAG:27
Lactobacillus

Revision editor(s): Claregrieve1, WikiWorks

Signature 2

Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/31

Curated date: 2021/01/10

Curator: Mst Afroza Parvin

Revision editor(s): Claregrieve1, WikiWorks

Source: Table 3

Description: Differential microbial abundance in obese and normal-weight young subjects

Abundance in Group 1: decreased abundance in obese

NCBI Quality ControlLinks
Escherichia coli
Prevotella

Revision editor(s): Claregrieve1, WikiWorks