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Gut Microbiota Comparison in Women with High and Low<br />

Body Mass Index Using Quantitative PCR Analysis.<br />

B. Hammons1 , M.A. J. Hullar2 , F. Li2,3 , J.W. Lampe2,3 .<br />

1 New Mexico State University, 2<strong>Fred</strong> <strong>Hutchinson</strong> Cancer Res. Ctr., Seattle,<br />

WA, 3 Univ. of Washington, Seattle, WA.<br />

2009 Best Poster Presentation Award<br />

RESULTS:<br />

Linear regression showed a positive association between<br />

Bacteroidetes ratio and BMI (P=0.001). No association between<br />

BMI and Clostridial cluster XIVa or Archaea.<br />

ANOVA test showed a significance difference of Bacteroidetes<br />

ratio among three BMI groups (P=0.0003). Scheffe post hoc test<br />

showed significant differences between groups of BMI >30 to<br />

BMI 30 and 22‐30<br />

(P = 0.014).<br />

There were no significance differences in % of Archaea and<br />

Clostridial cluster XIVa between BMI groups. (Figure 2)<br />

AIM:<br />

To estimate the gut composition of selected microbial groups in a<br />

population of women with a broad range of BMI.<br />

INTRODUCTION<br />

Gut microbial community is populated by 10 Eubacteria phyla and 1<br />

Archaea. The majority of bacteria are Bacteroidetes and Firmicutes.<br />

METHODS:<br />

Study population Fecal samples were collected previously from<br />

120 premenopausal women aged 40‐45y. Women were identified<br />

from the Group Health Breast Cancer Screening <strong>Program</strong>.<br />

Exclusion criteria were women taking exogenous hormones or<br />

antibiotics 3 months prior to study participation [5].<br />

Dietary fiber is fermented by gut microbiota, producing short chain fatty<br />

acids (SCFA) propionate, acetate, butyrate, and lactate.<br />

SCFA are estimated to provide 10% of total dietary energy supply in<br />

humans.<br />

Stool Collection and DNA extraction. Fecal samples from<br />

participants were initially stored in RNAlater. For DNA extraction,<br />

samples were homogenized in RNAlater. DNA was extracted using<br />

the optimized method of Li et al [6].<br />

Increased hydrogen‐oxidizing methanogenesis promotes fermentation<br />

and produces more SCFA. Propionate, lactate and butyrate can be<br />

converted to acetate, which in combination with hydrogen, is used by<br />

Methanogens (Figure 1). Methanogens are the only Archaea found in<br />

human gut. It is hypothesized that an increase in Methanogen<br />

populations would increase the fermentation of dietary fiber.<br />

QPCR – Quantitative PCR (QPCR) with variable primers was used<br />

to quantify total microbial 16S rRNA gene copy numbers as well as<br />

Bacteroidetes, Clostridial cluster XIVa and Methanogens (Table 1).<br />

Total DNA preparations from gut microbiota were used as<br />

templates for PCR amplification in an ABI Prism 7900HT Sequence<br />

Detection System (Applied Biosystems, Foster City, CA) using SYBR<br />

green QPCR kit (Invitrogen, Carlsbad CA). Optimized QPCR<br />

conditions were used according to Zhang, et al [1]; Rekha et al [7];<br />

Matsuki, et al [8]; Ahmend et al [9].<br />

The presence of Methanogens in obese individuals is hypothesized to<br />

increase energy uptake of SCFA by consuming hydrogen, which increases<br />

fermentation efficiency of carbohydrates and proteins [1].<br />

164<br />

Studies of Firmicutes and Bacteroidetes ratio in obese populations have<br />

shown conflicting data. Ley et al showed that there were more Firmicutes<br />

and fewer Bacteroidetes in obese individuals than lean counterparts [2].<br />

In contrast, others have found no difference in Bacteroidetes group<br />

between obese and lean individuals [3, 4].<br />

Figure 2. Percentage of Bacteria and Archaea among BMI groups.<br />

SUMMARY:<br />

Ratio of Bacteroidetes to total Eubacteria (assessed by 16S<br />

rRNA gene copy number) was positively associated with BMI,<br />

whereas there was no association between those of Clostridial<br />

group XIVa and Archaea and BMI.<br />

Other studies showed an increase in Bacteroidetes with<br />

weight loss [2], no change in Bacteroides or Clostridial clusters<br />

XIVa [3], and positive association between Methanogens and<br />

Prevotellaceae and BMI [1].<br />

Ours is the largest study to date of a well‐defined, relatively<br />

homogeneous sample of women. The difference in the trends<br />

of the gut microbiota with obesity across studies could reflect<br />

the different human populations sampled.<br />

Further evaluation of these data is needed.<br />

Table 1. QPCR primers of selected microbial groups<br />

References:<br />

1. Zhang, H.S., et al., Human gut microbiota in obesity and after gastric bypass. Proc Natl Acad Sci USA, 2009. 106(7): 2365‐2370.<br />

2. Ley, R.E., et al., Microbial ecology: human gut microbes associated with obesity. Nature, 2006. 444(7122): 1022‐3.<br />

3. Duncan, S.H., et al., Reduced dietary intake of carbohydrates by obese subjects results in decreased concentrations of butyrate<br />

and butyrate‐producing bacteria in feces. Appl Environ Microbiol, 2007. 73(4): 1073‐8.<br />

4. Armougom, F. and D. Raoult, Use of pyrosequencing and DNA barcodes to monitor variations in Firmicutes and Bacteroidetes<br />

communities in the gut microbiota of obese humans. Bmc Genomics, 2008. 9.<br />

5. Atkinson, C., et al., Demographic, anthropometric, and lifestyle factors and dietary intakes in relation to daidzein‐metabolizing<br />

phenotypes among premenopausal women in the United States. Am J Clin Nutr, 2008. 87(3): 679‐87.<br />

6. Li, F., M.A. Hullar, and J.W. Lampe, Optimization of terminal restriction fragment polymorphism (TRFLP) analysis of human gut<br />

microbiota. J Microbiol Methods, 2007. 68(2): 303‐11.<br />

7. Rekha, R., et al., Designing and validation of genus‐specific primers for human gut flora study. J of Biotechnology, 2006.<br />

9(5):505‐11.<br />

8. Matsuki, T., et al., Development of 16S rRNA‐Gene‐Targeted Group‐Specific Primers for the Dectection and Identification of<br />

Predominant Bacteria in Human Feces. Appl Environ Microbiol, 2002. 68(11); 5445‐51.<br />

9. Ahmed, S., et al., Mucosal‐Associated Bacterial Diversity associated with Human Terminal Ileum and Colonic Biopsy Samples.<br />

Appl Environ Microbiol, 2007. 73(22); 7435‐42.<br />

Data analysis – Linear Regression was performed between BMI<br />

and transformed 16S rRNA gene copy number ratios of selected<br />

bacterial groups or Archaea to total Eubacteria. BMI was also<br />

categorized into tertile groups (30<br />

kg/m2 ). We used an ANOVA with post hoc testing (Scheffe test)<br />

on transformed Bacterial or Archaeal 16S rRNA gene copy<br />

number ratio to determine any significant difference between<br />

BMI groups.<br />

Figure 1. Anaerobic degradation of organic matter showing relationship<br />

between gut bacteria fermentation and hydrogen use by Archaea.<br />

We hypothesized that increased body mass index (BMI) would be<br />

positively associated with Firmicutes (Clostridial cluster XIVa) and<br />

Methanogens and inversely associated with Bacteroidetes.<br />

This work is supported in part by NCI grants: 5 U54 CA132381 (FHCRC), 5 U54 CA132383 (NMSU) and R01<br />

CA97366.

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