RESEARCH PAPER
Characteristics of gut microbiome of obese middle-aged men in the Lublin region – preliminary report
| 1 | Division of Cardiology with Cardiac Intensive Care Unit, Cardinal Stefan Wyszyński Hospital, Lublin, Poland |
| 2 | Pope John Paul II State School of Higher Education, Biała Podlaska, Poland |
| 3 | Division of Gastroenterology, Cardinal Stefan Wyszyński Hospital, Lublin, Poland |
CORRESPONDING AUTHOR
Anna Gózd-Barszczewska
Stefan Cardinal Wyszyński Provincial Specialist Hospital, al. Kraśnicka 100, 20-718 Lublin, Poland
Stefan Cardinal Wyszyński Provincial Specialist Hospital, al. Kraśnicka 100, 20-718 Lublin, Poland
J Pre Clin Clin Res. 2019;13(1):37–41
KEYWORDS
TOPICS
ABSTRACT
Introduction and Objective:
Overweight and obesity are among the main health problems in highly developed countries, including Poland. An effective fight against complications of these phenomena may be the basis for prevention and improvement of therapy of many diseases. This preliminary study is an attempt to determine the composition of the intestinal microflora in the local population of obese middle-aged men particularly exposed to the adverse consequences of overweight and obesity.
Material and methods:
Stool samples of 20 men with abdominal obesity were the material for examination. The composition of microbiome was determined using the next generation sequencing method targeting the V3-V4 hipervariable region of 16S rRNA. The Greengenes gene collection was used as a reference database.
Results:
This was the first attempt to determine the gut microbiome composition in a local population. The predominant components of microbiota were bacteria classified as Firmicutes (47.45%) and Bacteroidetes (46.05%). The most abundant Class were Clostridia (47.06%) and Bacteroidia (46.05%), and most abundant Order were Clostridiales (46.50%) and Bacteroidales (45.93%). The greatest diversity concerned the Genus category in which the most abundant groups of microorganisms were bacteria belonging to Bacteroides (26.57%) and Prevotella (13.26%)
Conclusions:
Molecular sequencing methods allow determination of the composition of microbiome, including microorganisms that can't be identified using classical diagnostic methods. The obtained results may form the basis for further research, including larger groups of participants, aimed at determining the role of microbiota in the development of abdominal obesity and its complications. The results can also be used for comparative studies with those from other regions, and be a part of global efforts to determine human ‘core microbiome’.
Overweight and obesity are among the main health problems in highly developed countries, including Poland. An effective fight against complications of these phenomena may be the basis for prevention and improvement of therapy of many diseases. This preliminary study is an attempt to determine the composition of the intestinal microflora in the local population of obese middle-aged men particularly exposed to the adverse consequences of overweight and obesity.
Material and methods:
Stool samples of 20 men with abdominal obesity were the material for examination. The composition of microbiome was determined using the next generation sequencing method targeting the V3-V4 hipervariable region of 16S rRNA. The Greengenes gene collection was used as a reference database.
Results:
This was the first attempt to determine the gut microbiome composition in a local population. The predominant components of microbiota were bacteria classified as Firmicutes (47.45%) and Bacteroidetes (46.05%). The most abundant Class were Clostridia (47.06%) and Bacteroidia (46.05%), and most abundant Order were Clostridiales (46.50%) and Bacteroidales (45.93%). The greatest diversity concerned the Genus category in which the most abundant groups of microorganisms were bacteria belonging to Bacteroides (26.57%) and Prevotella (13.26%)
Conclusions:
Molecular sequencing methods allow determination of the composition of microbiome, including microorganisms that can't be identified using classical diagnostic methods. The obtained results may form the basis for further research, including larger groups of participants, aimed at determining the role of microbiota in the development of abdominal obesity and its complications. The results can also be used for comparative studies with those from other regions, and be a part of global efforts to determine human ‘core microbiome’.
REFERENCES (30)
1.
Peterson J, Garges S, Giovanni M, McInnes P, Wang L, Schloss JA, et al. The NIH Human Microbiome Project. Genome Res. 2009; 19(12): 2317–2323. https://doi.org/10.1101/gr.096....
2.
Binek M. [Human microbiome – health and disease]. POST. MIKROBIOL. 2012; 51(1): 27–36 [in Polish].
3.
Eckburg PB, Bik EM, Bernstein CN, Purdom E, Dethlefsen L, Sargent M, et al. Diversity of the Human Intestinal Microbial Flora. Science. 2005; 308(5728): 1635–1638. https://doi.org/10.1126/scienc....
4.
Wang ZK, Yang YS. Upper gastrointestinal microbiota and digestive diseases. World J Gastroenterol. 2013; 19(10): 1541–1550. https://doi. org/10.3748/wjg.v19.i10.1541.
5.
Frank DN, St. Amand AL, Feldman RA, Boedeker EC, Harpaz N, Pace NR. Molecular-phylogenetic characterization of microbial community imbalances in human inflammatory bowel diseases. Proc Natl Acad Sci USA. 2007; 104(34): 13780–13785. https://doi.org/10.1073/ pnas.0706625104.
6.
Karlsson FH, Fåk F, Nookaew I, Tremaroli V, Fagerberg B, Petranovic D, et al. Symptomatic atherosclerosis is associated with an altered gut metagenome. Nat Commun. 2012; 3: 1245. https://doi.org/10.1038/ ncomms2266.
7.
Qin J, Li Y, Cai Z, Li S, Zhu J, Zhang F, et al. A metagenome-wide association study of gut microbiota in type 2 diabetes. Nature. 2012; 490(7418): 55–60. https://doi.org/10.1038/nature....
8.
Ley RE, Turnbaugh PJ, Klein S, Gordon JI. Microbial ecology: Human gut microbes associated with obesity. Nature. 2006; 444(7122): 1022– 1023.
9.
Kostic AD, Chun E, Robertson L, Glickman JN, Gallini CA, Michaud M, et al. Fusobacterium nucleatum potentiates intestinal tumorigenesis and modulates the tumor immune microenvironment. Cell Host Microbe. 2013; 14(2): 207–215. https://doi.org/10.1016/j.chom....
10.
Lloyd-Price J, Abu-Ali G, Huttenhower C. The healthy human microbiome. Genome Med. 2016; 8: 51. https://doi.org/10.1186/s13073- 016-0307-y.
11.
Główny Urząd Statystyczny. Stan Zdrowia ludności Polski w 2014r. [cited 26 May 2018]. Available from: http://stat.gov.pl/obszary-tem... zdrowie/zdrowie/stan-zdrowia-ludnosci-polski-w-2014-r-,6,6.html.
12.
Vainio H, Kaaks R, Bianchini F. Weight control and physical activity in cancer prevention: international evaluation of the evidence. Eur J Cancer Prev. 2002; 11(Suppl 2): 94–100.
13.
Jaworski P, Binda A, Tarnowski W. [The influence of obesity on the development of cancer]. Postępy nauk medycznych. 2015; 30(9): 673–676 [in Polish].
14.
Gózd-Barszczewska A, Kozioł-Montewka M, Barszczewski P, Młodzińska A, Humińska K. Gut microbiome as a biomarker of cardiometabolic disorders. Ann Agric Environ Med. 2017; 24(3): 416–422.
15.
World Health Organization: Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. World Health Organ Tech Rep Ser. 1995; 854: 1–452. [cited 27 May 2018]. Available from: http://apps.who.int/iris/bitst... WHO_TRS_854.pdf.
16.
Alberti G, Zimmet P, Shaw J. Metabolic syndrome – a new world – wide definition. A Consensus Statement from the International Diabetes Federation. Diabet. Med. 2006; 23: 469–480.
17.
Janda JM, Abbott SL. 16S rRNA Gene Sequencing for Bacterial Identification in the Diagnostic Laboratory: Pluses, Perils, and Pitfalls. J Clin Microbiol. 2007 45 (9): 2761–2764. https://doi.org/10.1128/ JCM.01228-07.
18.
Richards AL, Burns MB, Alazizi A, Barreiro LB, Pique-Regi R, Blekhman R, et al. Genetic and transcriptional analysis of human host response to healthy gut microbiota. mSystems. 2016; 1(4). pii: e00067–16.
19.
Faith JJ, Guruge JL, Charbonneau M, Subramanian S, Seedorf H, Goodman AL, et al. The long-term stability of the human gut microbiota. Science. 2013; 341 (6141): 1237439. https://doi.org/10.1126/ science.1237439.
20.
Li J, Jia H, Cai X, Zhong H, Feng Q, Sunagawa S, et al. An integrated catalog of reference genes in the human gut microbiome. Nat Biotechnol. 2014; 32(8): 834–841. https://doi.org/10.1038/nbt.29....
21.
Hugon P, Dufour JC, Colson P, Fournier PE, Sallah K. A comprehensive repertoire of prokaryotic species identified in human beings. Lancet Infect Dis. 2015; 15(10): 1211–1219. https://doi.org/10.1016/S1473- 3099(15)00293-5.
22.
Haro C, Rangel-Zúñiga OA, Alcalá-Díaz JF, Gómez-Delgado F, PérezMartínez P, Delgado-Lista J, et al. Intestinal Microbiota Is Influenced by Gender and Body Mass Index. PLoS One. 2016; 11(5): e0154090. https://doi.org/10.1371/journa....
23.
Harris K, Kassis A, Major G, Chou CJ. Is the Gut Microbiota a New Factor Contributing to Obesity and Its Metabolic Disorders? J Obes. 2012; 2012: 879151. https://doi.org/10.1155/2012/8....
24.
Rosenbaum M, Knight R, Leibel RL. The gut microbiota in human energy homeostasis and obesity. Trends Endocrinol Metab. 2015; 26(9): s. 493–501. https://doi.org/10.1016/j.tem.....
25.
Chakraborti CK. New-found link between microbiota and obesity. World J Gastrointest Pathophysiol. 2015; 6(4): s. 110–119. https://doi. org/10.4291/wjgp.v6.i4.110.
26.
Abdallah Ismail N, Ragab SH, Abd Elbaky A, Shoeib AR, Alhosary Y, Fekry D. Frequency of Firmicutes and Bacteroidetes in gut microbiota in obese and normal weight Egyptian children and adults. Arch Med Sci. 2011; 7(3): s. 501–507. https://doi.org/10.5114/aoms.2....
27.
Turnbaugh PJ, Hamady M, Yatsunenko T, Cantarel BL, Duncan A, Ley RE, et al. A core gut microbiome in obese and lean twins. Nature. 2009; 457 (7228): 480–484. https://doi.org/10.1038/nature....
28.
Finucane MM, Sharpton TJ, Laurent TJ, Pollard KS. A Taxonomic Signature of Obesity in the Microbiome? Getting to the Guts of the Matter. PLoS One. 2014; 9(1): e84689. https://doi.org10.1371/journal. pone.0084689.
29.
Chiu CM, Huang WC, Weng SL, Tseng HC, Liang C, Wang WC, et al. Systematic analysis of the association between gut flora and obesity through high-throughput sequencing and bioinformatics approaches. Biomed Res Int. 2014; 2014: 906168. https://doi.org/10.1155/2014/9....
30.
Koren O, Knights D, Gonzalez A, Waldron L, Segata N, Knight R, et al. A Guide to Enterotypes across the Human Body: Meta-Analysis of Microbial Community Structures in Human Microbiome Datasets. PLoS Comput Biol. 2013; 9(1): e1002863. https://doi.org/10.1371/journa.... pcbi.1002863.
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