11/26/2010 Intestinal microbiota profile in healthy Saudi children: The bacterial domain El Mouzan M, Al-Hussaini AA, Al Sarkhy A, Assiri A, Alasmi M, - Saudi J Gastroenterol
Saudi Journal of Gastroenterology
Home About us Instructions Submission Subscribe Advertise Contact Login    Print this page  Email this page Small font sizeDefault font sizeIncrease font size 
Users Online: 743 

Previous Article  Table of Contents Next Article  
ORIGINAL ARTICLE  
Year :   |  Volume :   |  Issue :   |  Page :
Intestinal microbiota profile in healthy Saudi children: The bacterial domain


1 Department of Pediatrics, Gastroenterology Division, King Saud University Medical City, King Saud University, Riyadh, Kingdom of Saudi Arabia
2 Division of Pediatric Gastroenterology, Children's Specialized Hospital, King Fahad Medical City; Faculty of Medicine, AlFaisal University, Riyadh, Kingdom of Saudi Arabia

Click here for correspondence address and email
Date of Submission13-Nov-2021
Date of Acceptance06-Jan-2022
Date of Web Publication18-Feb-2022
 

   Abstract 


Background: Knowledge of microbiota in health is essential for clinical research on the role of microbiota in disease. We aimed to characterize the intestinal microbiota in healthy Saudi children.
Methods: In this community-based study, stool samples were collected from a randomly selected sample of 20 healthy school children of Saudi origin. The samples were frozen at –80°C till analysis. Bacterial DNA was isolated and libraries were prepared using the Illumina Nextera XT library preparation kit. Unassembled sequencing reads were directly analyzed and quantified for each organism's relative abundance. The abundance for each organism was calculated and expressed as the average relative percentage from phyla to species.
Results: The median age was 11.3 (range 6.8-15.4) years, and 35% of them were males. The three most abundant phyla were Firmicutes, Bacteroidetes, and Actinobacteria accounting for 49%, 26%, and 24%, respectively. The most abundant genera included Bifidobacterium, Bacteroides, and Blautia accounting for 18.9%, 12.8%, and 8.2%, respectively. Finally, the most abundant species included 14 species belonging to the genus Bacteroides and nine species belonging to Bifidobacterium.
Conclusions: The abundance of intestinal microbiome in healthy Saudi children is different from that of other populations. Further studies are needed to understand the causes of variation between populations, which might lead to new preventive methods and treatment strategies of diseases caused by microbial dysbiosis.

Keywords: Bacteriome, children, gut microbiome, Saudi Arabia


How to cite this URL:
El Mouzan M, Al-Hussaini AA, Al Sarkhy A, Assiri A, Alasmi M. Intestinal microbiota profile in healthy Saudi children: The bacterial domain. Saudi J Gastroenterol [Epub ahead of print] [cited 2022 May 26]. Available from: https://www.saudijgastro.com/preprintarticle.asp?id=337895





   Introduction Top


It has been estimated that the gut, particularly the colon, harbors most of the total body microbiota.[1] Although the microbiome of healthy individuals is relatively stable by the age of 3 years, it is modulated throughout the entire lifespan by different environmental factors such as dietary lifestyle, antibiotic treatment, and stress. It has been demonstrated that microbiota is essential to the development and maturation of the immune system. For example, Bacteroides fragilis stimulates T-cell–dependent immune responses important for the development and homeostasis of the immune system.[2],[3],[4] Similarly, Lactobacillus and Bifidobacterium exert a barrier effect to protect the host against pathogens.[5],[6],[7] Other functions of microbiota, most commonly Clostridia species such as Ruminococcus and Faecalibacterium, involve the production of short-chain fatty acids (SCFAs) from the digestion of starches and dietary fibers, mainly represented by acetate, propionate, and butyrate. SCFAs have been shown to alter chemotaxis and phagocytosis, induce reactive oxygen species, change cell proliferation and function, have antimicrobial effects, and alter gut integrity. These findings highlight the role of SCFAs as a major player in maintenance of gut and immune homeostasis.[8] Other beneficial effects of SCFA include provision of energy and production of vitamins.[9]

The microbiome composition is influenced by genetics, mode of delivery at birth, geographic environment, antibiotics, and dietary lifestyle.[10],[11],[12],[13] Most of the literature on intestinal microbiota are from socioeconomically developed populations and there is a need for studies from other populations which have different genetics and lifestyle. Therefore, we aim to characterize the microbiome profile in a cohort of healthy children in the Kingdom of Saudi Arabia (KSA).


   Subjects and Methods Top


The study population

The children were enrolled from King Fahad Medical City Children Hospital, Ministry of Health, in Riyadh, KSA. Stool samples were collected from 20 healthy school children taken from a large random sample of controls recruited for a mass screening study.[14] All children were on a normal family diet and were drinking from the same water sources (bottled and desalinated) at the time of sample collection. In addition, all children had no history of antibiotic intake for at least 6 months prior to sample collection.

Sample Collection, Storage, and Retrieval

Stool samples were collected in cryovials and stored at −80°C at the central laboratory in the College of Medicine, King Saud University. At the time of analysis, the samples were retrieved and dispatched by express mail in a temperature-controlled container filled with dry ice until delivery to the laboratory for metagenomic, bioinformatic, and statistical analyses (CosmosID Inc., Rockville, MD, USA).

DNA Isolation and Sequencing

DNA was isolated from the stool samples using the DNeasy PowerSoil DNA kit (Qiagen, Hilden, Germany), with each process done according to the manufacturer's instructions. Isolated DNA was quantified by Qubit (Thermo Fisher Scientific, Waltham, MA, USA).

DNA libraries were prepared using the Illumina Nextera XT library preparation kit, according to the manufacturer's protocol. Library quantity and quality were assessed with Qubit and TapeStation (Agilent Technologies, Santa, Clara, CA, USA). Libraries were then sequenced on an HiSeq platform (2 × 150 bp; Illumina, San Diego, CA, USA).

Bioinformatic and Abundance Analysis

Unassembled sequencing reads were directly analyzed with the CosmosID bioinformatics platform (CosmosID Inc.), as described elsewhere for microbiome analysis and quantification of each organism's relative abundance.[15],[16],[17],[18] Briefly, the system uses curated genome databases and a high-performance data-mining algorithm that rapidly disambiguates hundreds of millions of metagenomic sequence reads into the discrete microorganisms engendering the sequences.

The abundance of each organism was calculated and expressed as the average relative percentage from phyla to species.

Ethical Approval

This study was approved by the Institutional Review Board of the College of Medicine, King Saud University, Riyadh, KSA (no. 14/4464/IRB). All children and their parents were informed, and one of the parents signed written consent for the children to participate in the study.


   Results Top


The Study Population

The study population included 20 Saudi children. The median age was 11.3 ( range 6.8-15.4) years, and 35% of them were males. The Saudi family food consumption consists of daily consumption of rice (92%), bread (32%), red meat (45%), chicken (45%), and fish (5%), with a good to poor participation of children in family meals as reported by the mothers (unpublished data). In addition to family food, the dietary lifestyle of the children in this study included daily or twice-weekly consumption of fast food in 7/20 (35%) and 10/20 (50%), respectively, sweet soft drinks in 11/20 (55%) and 4/20 (20%), respectively, fruit in 1/20 (5%) and 7/20 (35%), respectively, vegetables in 9/20 (45%) and 6/20 (30%), respectively, and milk or milk products in 16/20 (80%) and 3/20 (15%), respectively. Finally, 16/19 (84%) of the children received breast milk in the first 2 years of life, with a median duration of 2 months (unpublished data).

The Abundance of Microbiota

The average abundance of bacterial microbiota from phyla to family level is presented in [Table 1]. The three most abundant phyla were Firmicutes, Bacteroidetes, and Actinobacteria, accounting for an average abundance of 49%, 26%, and 23%, respectively, whereas Proteobacteria were rare (1%). At the class level, the three most abundant organisms were Clostridia (Firmicutes phylum), Bacteroidia (Bacteroidetes phylum), and Actinobacteria (Actinobacteria phylum), accounting for 42%, 26%, and 19%, respectively, whereas at the order level, Clostridiales (Clostridia class), Bacteroidales (Bacteroidia class), and Bifidobacteriales (Actinobacteria class) accounted for 42%, 26%, and 19%, respectively, and at the family level, Lachnospiraceae (Lachnospirales order-Clostridia class), Bacteroidaceae (Bacteroidales class), and Ruminococcaceae (Clostridiales order) were the three most abundant organisms in 24%, 13%, and 12%, respectively.
Table 1: Fecal microbiota profile from phyla to family level in heathy Saudi children

Click here to view


The average abundance of the top 50 genera is presented in [Table 2] with Bifidobacterium, Bacteroides, and Blautia representing 18.9%, 12.8%, and 8.2%, respectively. Finally, the average abundance of the top 100 species shown in [Table 3] was dominated by 14 species belonging to the genus Bacteroides and nine species belonging to the genus Bifidobacterium. Lactobacillus and Prevotella, although less abundant, have major functions.
Table 2: Abundance of the top 50 bacterial genera in fecal samples

Click here to view
Table 3: Abundance of the top 100 bacterial species

Click here to view



   Discussion Top


Information on microbiota in health is important for studies related to the association of certain microbes with diseases. Dysbiosis is defined as any change in the composition of microbial communities in any condition relative to the community found in healthy individuals.[19] Accordingly, knowledge of microbiota in health is crucial to the definition of disease-associated dysbiosis. Diet is the most important modifiable modulator of the microbiome and in view of the variability of dietary lifestyle among populations, variation in microbiota is expected.[20],[21],[22],[23] Two types of diets have been most associated with alteration of the microbiome. The Mediterranean diet (MD) is generally regarded as a healthy diet. It is characterized by a combination of complex carbohydrates rich in fiber (cereals, vegetables, fruits), polyunsaturated fatty acids with antiatherogenic and anti-inflammatory items (olive oil, nuts), and bioactive compounds with antioxidative properties, such as flavonoids, phytosterols, terpenes, and polyphenols.[20],[21],[22],[23],[24] In addition, abundant micronutrients in this diet including vitamins and minerals help prevent malnutrition and immunodeficiencies. A recent report from a northern Spanish population identified several beneficial bacteria that were more abundant in the individuals with higher adherence to the MD. Bifidobacterium animalis was the species with the strongest association with the MD. Some SCFAs-producing bacteria were also associated with MD. The authors concluded that MD, fiber, legumes, vegetable, fruit, and nut intake are associated with an increase in butyrate-producing taxa such as Roseburia faecis, Ruminococcus bromii, and Oscillospira (Flavonifractor) plautii.[25] By contrast, Western diet (WD) is considered unhealthy as it is characterized by a high content of unhealthy fats, refined grains, sugar, and reduced content of fruits and vegetables. This leads to changes in gut microbiota and immune system, negatively affecting the gut integrity, and thus promoting local and systemic chronic inflammation.[26],[27] Gut microbiota modulated by WD include increased Firmicutes/Bacteroidetes ratio and decreased population of SCFA producers such as Lachnobacterium species, leading to intestinal barrier disruption and increased permeability.[28],[29],[30] The contrasting effects of MD and WD on gut microbiota suggest variation in gut microbiota between populations, indicating the need for studies from different populations.[31],[32],[33]

Gut bacterial microbiota characterized in this study revealed a microbiota profile different from that of other populations. A study comparing gut microbiota in 15 children from rural Burkina Faso (BF) and Florence (Italy) revealed that more than 94.2% of the sequences belonged to the four most common phyla (Actinobacteria, Firmicutes, Proteobacteria, Bacteroidetes), which is in a slightly lower abundance than the 99% obtained in our study, but similar to previous reports.[34] However, Bacteroidetes was the most abundant phylum (73%), which includes the genus Prevotella (53%) and Firmicutes (12%), contrasting with 51% abundance of Firmicutes and only 26% abundance of Bacteroidetes in the European (EU) group. This significant difference in abundance of bacteria between EU and BF samples was attributed to difference in dietary lifestyle. The diet of BF children was low in fat and animal protein and rich in starch, fiber, and plant polysaccharides and was predominantly vegetarian, whereas the diet of EU children was a typical WD high in animal protein, sugar, starch, and fat and low in fiber.[35] The profile of microbiota in Saudi children (Firmicutes 49% and Bacteriodetes 26%) was strikingly similar to that of EU children, which is not surprising in view of the similar dietary lifestyle of Saudi children to EU children. Another study comparing fecal microbiota from four healthy 9- to 14-year-old Bangladeshi children with that of four children of the same age range in the USA found important differences. At the phyla level, the abundance of Firmicutes, Bacteroidetes, Tenericutes, Proteobacteria, and Verrucomicrobia was 46%, 43%, 4%, 4%, and 2%, respectively, in the US children, contrasting with the abundance of Firmicutes 60%, Bacteroidetes 20%, Tenericutes 12%, and Proteobacteria 5% in Bangladeshi children. At the genus level, Prevotella, which belongs to the phylum Bacteroidetes, was the most prevalent genus in Bangladeshi children, while the Bacteroides genus, which belong to the same Bacteroidetes phylum, was the most prevalent in the US children.[36]

These variations in microbiota profile between populations in Italy, USA, Spain, Bangladesh, and Burkina Faso are most likely related to variations in their dietary lifestyle. The gut microbiome profile of healthy Saudi children in this report is closer to Western than non-Western patterns, an expected finding in view of the similarity of the diet of Saudi children to Western dietary lifestyle.


   Conclusion Top


To our knowledge, this is the first report on gut microbiota profile in healthy Middle eastern childhood population. Characterization of gut microbiota in this report may serve as controls in dysbiosis research in the KSA and similar countries. However, in the era of probiotic research and fecal microbial therapy, there is a need for more studies from other countries, particularly developing countries. Such studies are necessary to understand the causes of variation, which might lead to new preventive and treatment strategies of diseases caused by microbial dysbiosis.

Acknowledgements

The authors extend their appreciations to the Deanship of Scientific Research at King Saud University for funding this work through Research Group No. (RGP-1441-007).

Financial support and sponsorship

The Deanship Scientific Research, King Saud University

Conflicts of interest

There are no conflicts of interest.



 
   References Top

1.
Cani PD. Human gut microbiome: hopes, threats and promises. Gut 2018;67:1716-25.  Back to cited text no. 1
    
2.
Mazmanian SK, Liu CH, Tzianabos AO, Kasper DL. An immunomodulatory molecule of symbiotic bacteria directs maturation of the host immune system. Cell 2005;122:107-18.  Back to cited text no. 2
    
3.
Mazmanian SK, Round JL, Kasper DL A microbial symbiosis factor prevents intestinal inflammatory disease. Nature 2008;453:620-5.  Back to cited text no. 3
    
4.
Troy EB, Kasper DL. Beneficial effects of Bacteroides fragilis polysaccharides on the immune system. Front Biosci 2010;15:25–34.  Back to cited text no. 4
    
5.
García-Lafuente A, Antolín M, Guarner F, Crespo E, Malagelada JR. Modulation of colonic barrier function by the composition of the commensal flora in the rat. Gut 2001;48:503-7.  Back to cited text no. 5
    
6.
Mital BK, Garg SK. Anticarcinogenic, hypocholesterolemic, and antagonistic activities of Lactobacillus acidophilus. Crit Rev Microbiol 1995;21:175-214.  Back to cited text no. 6
    
7.
Miyauchi E, Morita H, Tanabe S. Lactobacillus rhamnosus alleviates intestinal barrier dysfunction in part by increasing expression of zonula occludens-1 and myosin light-chain kinase in vivo. J Dairy Sci 2009;92:2400-8.  Back to cited text no. 7
    
8.
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 2014;121:91–119.  Back to cited text no. 8
    
9.
LeBlanc JG, Chain F, Martín R, Bermúdez-Humarán, LG, Courau S, Langella P. Beneficial effects on host energy metabolism of short-chain fatty acids and vitamins produced by commensal and probiotic bacteria. Microb Cell Fact 2017;16:79.  Back to cited text no. 9
    
10.
Rothschild D, Weissbrod O, Barkan E, Kurilshikov A, Korem T, Zeevi D, et al. Environment dominates over host genetics in shaping human gut microbiota. Nature 2018;555:210–5.  Back to cited text no. 10
    
11.
Tanaka M, Nakayama J. Development of the gut microbiota in infancy and its impact on health in later life. Allergol Int 2017;66:515-22.  Back to cited text no. 11
    
12.
Jackson MA, Verdi S, Maxan M-E, Shin CM, Zierer J, Bowyer RC, et al. Gut microbiota associations with common diseases and prescription medications in a population-based cohort. Nat Commun 2018;9:2655.  Back to cited text no. 12
    
13.
Lee Y. Effects of diet on gut microbiota profile and the implications for health and disease. Biosci Microbiota Food Health 2013;32:1-12.  Back to cited text no. 13
    
14.
Al-Hussaini A, Troncone R, Khormi M, AlTuraiki M, Alkhamis W, Alrajhi M, et al. Mass screening for celiac disease among school-aged children: Toward exploring celiac iceberg in Saudi Arabia. J Pediatr Gastroenterol Nutr 2017;65:646-65.  Back to cited text no. 14
    
15.
Ottesen A, Ramachandran P, Reed E, White JR, Hasan N, Subramanian P, et al. Enrichment dynamics of Listeria monocytogenes and the associated microbiome from naturally contaminated ice cream linked to a listeriosis outbreak. BMC Microbiol 2016;16:275.  Back to cited text no. 15
    
16.
Hasan NA, Young BA, Minard-Smith AT, Saeed K, Li H, Heizer EM, et al. Microbial community profiling of human saliva using shotgun metagenomic sequencing. PLoS One 2014;9:e97699.  Back to cited text no. 16
    
17.
Lax S, Smith DP, Hampton-Marcell J, Owens SM, Handley KM, Scott NM, et al. Longitudinal analysis of microbial interaction between humans and the indoor environment. Science 2014;345:1048-52.  Back to cited text no. 17
    
18.
Ponnusamy D, Kozlova EV, Sha J, Erova TE, Azar SR, Fitts EC, et al. Cross-talk among flesh-eating aeromonas hydrophila strains in mixed infection leading to necrotizing fasciitis. Proc Natl Acad Sci U S A 2016;113:722-7.  Back to cited text no. 18
    
19.
Petersen C, Round JL. Defining dysbiosis and its influence on host immunity and disease. Cell Microbiol 2014;16:1024-33.  Back to cited text no. 19
    
20.
Serra-Majem L, Román-Viñas B, Sanchez-Villegas A, Guasch-Ferré M, Corella D, La Vecchia C. Benefits of the mediterranean diet: Epidemiological and molecular aspects. Mol Aspects Med 2019;67:1–55.  Back to cited text no. 20
    
21.
Pecora F, Persico F, Argentiero A, Neglia C, Esposito S. The role of micronutrients in support of the immune response against viral infections. Nutrients 2020;12:3198.  Back to cited text no. 21
    
22.
Barrea L, Muscogiuri G, Frias-Toral E, Laudisio D, Pugliese G, Castellucci B, et al. Nutrition and immune system: From the Mediterranean diet to dietary supplementary through the microbiota. Crit Rev Food Sci Nutr 2021;61:3066-90.  Back to cited text no. 22
    
23.
Gombart AF, Pierre A, Maggini S. A review of micronutrients and the immune system–working in harmony to reduce the risk of infection. Nutrients 2020;12:236.  Back to cited text no. 23
    
24.
Krznarić Ž, Vranešić Bender D, Meštrović T. The Mediterranean diet and its association with selected gut bacteria. Curr Opin Clin Nutr Metab Care 2019;22:401-6.  Back to cited text no. 24
    
25.
Rosés C, Cuevas-Sierra A, Quintana S, Riezu-Boj JI, Martínez JA, Milagro FI, et al. Gut microbiota bacterial species associated with mediterranean diet-related food groups in a northern Spanish population. Nutrients 2021;13:636.  Back to cited text no. 25
    
26.
Christ A, Lauterbach M, Latz E. Western diet and the immune system: An inflammatory connection. Immunity 2019;51:794–811.  Back to cited text no. 26
    
27.
Statovci D, Aguilera M, MacSharry J, Melgar S. The impact of western diet and nutrients on the microbiota and immune response at mucosal interfaces. Front Immunol 2017;8:838.  Back to cited text no. 27
    
28.
Ramne S, Brunkwall L, Ericson U, Gray N, Kuhnle GG, Nilsson PM, et al. Gut microbiota composition in relation to intake of added sugar, sugar-sweetened beverages and artificially sweetened beverages in the Malmö offspring study. Eur J Nutr 2021;60:2087-97.  Back to cited text no. 28
    
29.
Murphy EA, Velazquez KT, Herbert KM. Influence of high-fat diet on gut microbiota: A driving force for chronic disease risk. Curr Opin Clin Nutr Metab Care 2015;18:515–20.  Back to cited text no. 29
    
30.
Rohr MW, Narasimhulu CA, Rudeski-Rohr TA, Parthasarathy S. Negative effects of a high-fat diet on intestinal permeability: A review. Adv Nutr 2020;11:77–91.  Back to cited text no. 30
    
31.
Taylor A, Breuninger TA, Wawro N, Breuninger J, Reitmeier S, Clavel T, et al. Associations between habitual diet, metabolic disease, and the gut microbiota using latent Dirichlet allocation. Microbiome 2021;9:61.  Back to cited text no. 31
    
32.
Yatsunenko T, Rey FE, Manary MJ, Trehan I, Dominguez-Bello MG, Contreras M, et al. Human gut microbiome viewed across age and geography. Nature 2012;486:222–7.  Back to cited text no. 32
    
33.
Chatterjee B, Thakur SS. Microbial profiling: Extend ethnicity of human microbiome. Nature 2012;487:39.  Back to cited text no. 33
    
34.
Qin J, Li R, Raes J, Arumugam M, Burgdorf KS, Manichanh C, et al. MetaHIT Consortium. A human gut microbial gene catalogue established by metagenomic sequencing. Nature 2010;464:59-65.  Back to cited text no. 34
    
35.
De Filippoa C, Cavalieria D, Di Paolab M, Ramazzottic M, Poulletd JB, Massartd S, et al. Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa. Proc Natl Acad Sci U S A 2010;107:14691–6.  Back to cited text no. 35
    
36.
Lin A, Bik EM, Costello EK, Dethlefsen L, Haque R, Relman DA, et al. Distinct distal gut microbiome diversity and composition in healthy children from Bangladesh and the United States. PLoS One 2013;8:e53838.  Back to cited text no. 36
    

Top
Correspondence Address:
Mohammad El Mouzan,
Department of Pediatrics, Gastroenterology Division, King Saud University, PO Box 2925, Riyadh - 11461
Kingdom of Saudi Arabia
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/sjg.sjg_585_21




 
 
    Tables

  [Table 1], [Table 2], [Table 3]



 

Top
Previous Article   Next Article
 
  Search
 
  Ahead Of Print
  
     Search Pubmed for
 
    -  El Mouzan M
    -  Al-Hussaini AA
    -  Al Sarkhy A
    -  Assiri A
    -  Alasmi M
        PDF Version


    Abstract
   Introduction
   Subjects and Methods
   Results
   Discussion
   Conclusion
    References
    Article Tables

 Article Access Statistics
    Viewed835    
    PDF Downloaded6    

Recommend this journal