MOLECULAR CHARACTERIZATION OF FECAL MICROBIOTA OF HEALTHY CHINESE TOBACCO SMOKER SUBJECTS IN SHAANXI PROVINCE, XI’AN CHINA

Authors

  • Hafiz Muhammad Ishaq Xi'an Jiaotong University, China
  • Muhammad Shahzad
  • Xiaokang Wu
  • Chaofeng Ma
  • Jiru Xu

Abstract

Background: Tobacco Smoking, most commonly, can cause the diseases affecting the lungs and heart. Human gut microbiota plays a key role to decide the health status of the host. Current study aimed to characterize the gut microbiota of healthy Chinese tobacco smokers and to study the alteration in diversity and similarity of gut microbiota, with comparison of healthy non-smokers. Methods: Fecal samples were collected from fourteen healthy tobacco smokers and six from healthy non-smoker individuals. PCR-denaturing gradient gel electrophoresis, with universal primers focusing V3 region of the 16S rRNA gene, was done to characterize the overall gut microbial composition of healthy tobacco smokers in comparison with healthy non-smoker subjects and some strongly dominant gel bands were excised for sequencing. Real time PCR was also performed to evaluate the copy numbers of some dominant bacteria of intestinal flora. Results: The results indicated that gut microbial diversity in tobacco smoker group was lower than non-smoker controls. Furthermore, similarity index comparison also indicated that it was lower in inter-group than intra-group, which showed that gut microbial composition was changed in tobacco smoker group. Sequencing results also indicated a change in bacterial composition between both groups. We also observed that in tobacco smoker group, there was a significant reduction in Bifidobacterium and non-significant increase in Bacteroides vulgatus, while non-significant decrease in Lactobacillus and clostridium leptum sub group, respectively. Conclusion: It can be concluded that in healthy Chinese tobacco smoker group, there is a notable alteration in the molecular characterization of gut microbiota.Keywords: Tobacco smokers; Gut microbiota; Characterization; DGGE

References

Guarner F, Malagelada JR. Gut flora in health and disease. Lancet 2003;361(9356):512–9.

Power SE, O'Toole PW, Stanton C, Ross RP, Fitzgerald GF. Intestinal microbiota, diet and health. Br J Nutr 2014;111(3):387–402.

Walsh CJ, Guinane CM, O'Toole PW, Cotter PD. Beneficial modulation of the gut microbiota. FEBS lett 2014;588(22):4120–30.

Tan J, McKenzie C, Potamitis M, Thorburn AN, Mackay CR, Macia L. The role of short-chain Fatty acids in health and disease. Adv Immunol 2013;121:91–119.

Leo P. In China, smoking's the big thing. Post-Gaz 2006:686910–294.

Smoke T, Smoking I. IARC monographs on the evaluation of carcinogenic risks to humans. IARC, Lyon. 2004:1–1452.

Ma C, Wu X, Nawaz M, Li J, Yu P, Moore JE, et al. Molecular characterization of fecal microbiota in patients with viral diarrhea. Curr Microbiol 2011;63(3):259–66.

Zhou L, Li X, Ahmed A, Wu D, Liu L, Qiu J, et al. Gut microbe analysis between hyperthyroid and healthy individuals. Curr Microbiol 2014;69(5):675–80.

Khoruts A, Dicksved J, Jansson JK, Sadowsky MJ. Changes in the composition of the human fecal microbiome after bacteriotherapy for recurrent Clostridium difficile-associated diarrhea. J Clin Gastroenterol 2010;44(5):354–60.

Wu X, Ma C, Han L, Nawaz M, Gao F, Zhang X, et al. Molecular characterisation of the faecal microbiota in patients with type II diabetes. Curr Microbiol 2010;61(1):69–78.

Scanlan PD, Shanahan F, O'Mahony C, Marchesi JR. Culture-independent analyses of temporal variation of the dominant fecal microbiota and targeted bacterial subgroups in Crohn's disease. J Clin Microbiol 2006;44(11):3980–8.

Muyzer G, De Waal EC, Uitterlinden AG. Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction-amplified genes coding for 16S rRNA. Appl Environ Microbiol 1993;59(3):695–700.

Van Der Gucht K, Sabbe K, De Meester L, Vloemans N, Zwart G, Gillis M, et al. Contrasting bacterioplankton community composition and seasonal dynamics in two neighbouring hypertrophic freshwater lakes. Environ Microbiol 2001;3(11):680–90.

Green SJ, Leigh MB, Neufeld JD. Denaturing gradient gel electrophoresis (DGGE) for microbial community analysis. In Handbook of hydrocarbon and lipid microbiology: Springer; 2010. p.4137–58.

McBain AJ, Bartolo RG, Catrenich CE, Charbonneau D, Ledder RG, Rickard AH, et al. Microbial characterization of biofilms in domestic drains and the establishment of stable biofilm microcosms. Appl Environ Microbiol 2003;69(1):177–85.

Nyboe J, Jensen G, Appleyard M, Schnohr P. Risk factors for acute myocardial infarction in Copenhagen. I: Hereditary, educational and socioeconomic factors. Copenhangen city hart study. Eur Heart J 1989;10(10):910–6.

Gill SR, Pop M, DeBoy RT, Eckburg PB, Turnbaugh PJ, Samuel BS, et al. Metagenomic analysis of the human distal gut microbiome. Science 2006;312(5778):1355–9.

Ley RE, Bäckhed F, Turnbaugh P, Lozupone CA, Knight RD, Gordon JI. Obesity alters gut microbial ecology. Proc Natl Acad Sci U S A 2005;102(31):11070–5.

Ledder RG, Gilbert P, Huws SA, Aarons L, Ashley MP, Hull PS, et al. Molecular analysis of the subgingival microbiota in health and disease. Appl Environ Microbiol 2007;73(2):516–23.

Lyons SR, Griffen AL, Leys EJ. Quantitative real-time PCR forPorphyromonas gingivalis and total bacteria. J Clin Microbiol 2000;38(6):2362–5.

Cani PD, Amar J, Iglesias MA, Poggi M, Knauf C, Bastelica D, et al. Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes 2007;56(7):1761–72.

Huang F, Qiao HM, Yin JN, Gao Y, Ju YH, Li YN. Early-Life Exposure to Clostridium leptum Causes Pulmonary Immunosuppression. PLoS One 2015;10(11):e0141717.

Butel MJ. Probiotics, gut microbiota and health. Med Mal Infect 2014;44(1):1–8.

Nova E, Perez de Heredia F, Gomez-Martinez S, Marcos A. The Role of Probiotics on the Microbiota: Effect on Obesity. Nutr Clin Pract 2016;31(3):387–400.

Matsuki T, Watanabe K, Fujimoto J, Miyamoto Y, Takada T, Matsumoto K, et al. Development of 16S rRNA-gene-targeted group-specific primers for the detection and identification of predominant bacteria in human feces. App Environ Microbiol 2002;68(11):5445–51.

Dubernet S, Desmasures N, Guéguen M. A PCR-based method for identification of lactobacilli at the genus level. FEMS Microbiol Lett 2002;214(2):271–5.

Wang RF, Cao WW, Cerniglia CE. PCR detection and quantitation of predominant anaerobic bacteria in human and animal fecal samples. Appl Environ Microbiol 1996;62(4):1242–7.

Matsuki T, Watanabe K, Fujimoto J, Takada T, Tanaka R. Use of 16S rRNA gene-targeted group-specific primers for real-time PCR analysis of predominant bacteria in human feces. Appl Environ Microbiol 2004;70(12):7220–8.

Published

2017-01-25

Most read articles by the same author(s)