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World Journal of Clinical Cases World Journal of W J C C Clinical Cases Submit a Manuscript: http://www.f6publishing.com World J Clin Cases 2018 April 16; 6(4): 54-63 DOI: 10.12998/wjcc.v6.i4.54 ISSN 2307-8960 (online) ORIGINAL ARTICLE Observational Study Correlations between microbial communities in stool and clinical indicators in patients with metabolic syndrome Lang Lin, Zai-Bo Wen, Dong-Jiao Lin, Jiang-Ting Dong, Jie Jin, Fei Meng Lang Lin, Zai-Bo Wen, Dong-Jiao Lin, Jiang-Ting Dong, the use is non-commercial. See: http://creativecommons.org/ Department of Gastroenterology, Cangnan People’s Hospital, licenses/by-nc/4.0/ Cangnan 325800, Zhejiang Province, China Manuscript source: Unsolicited manuscript Jie Jin, Fei Meng, Department of Research Service, Zhiyuan Medical Inspection Institute CO., LTD, Hangzhou 310030, Correspondence to: Lang Lin, MSc, Chief Doctor, Department Zhejiang Province, China of Gastroenterology, Cangnan People’s Hospital, Lingxi Town, Yucang Road No.195, Cangnan 325800, Zhejiang Province, ORCID number: Lang Lin (0000-0001-5879-7487); Zai-Bo Wen China. [email protected] (0000-0003-1290-0404); Dong-Jiao Lin (0000-0001-5186-8182); Jiang- Telephone: +86-577-64767351 Ting Dong (0000-0002-6433-0143); Jie Jin (0000-0003-1481-5107); Fei Fax: +86-577-64767351 Meng (0000-0003-1233-4270). Received: January 2, 2018 Author contributions: Lin L formulated the problem; Wen ZB, Peer-review started: January 2, 2018 Lin DJ and Dong JT collected samples; Meng F performed 16S First decision: January 18, 2018 rDNA sequencing; Jin J analyzed the data; Lin L and Jin J wrote Revised: February 2, 2018 the paper. Accepted: March 7, 2018 Article in press: March 7, 2018 Supported by the Medical and Health Science and Technology Published online: April 16, 2018 Plan Project of Zhejiang Province, No. 2015KY371; and the Public Technology Application Research of Zhejiang Province Science and Technology Hall, No. 2016C33242. Institutional review board statement: This study has been Abstract approved by the ethics committee. AIM To analyze the bacterial community structure and Informed consent statement: All study participants, or their distribution of intestinal microflora in people with and legal guardian, provided informed written consent prior to study without metabolic syndrome and combined these enrollment. data with clinical indicators to determine relationships Conflict-of-interest statement: To the best of our knowledge, between selected bacteria and metabolic diseases. no conflicts of interest exist. METHODS Data sharing statement: No additional data are available. Faecal samples were collected from 20 patients with metabolic syndrome and 16 controls at Cangnan STROBE statement: The STROBE Statement had been adopted. People’s Hospital, Zhejiang Province, China. DNA was extracted and the V3-V4 regions of the 16S rRNA Open-Access: This article is an open-access article which was genes were amplified for high throughput sequencing. selected by an in-house editor and fully peer-reviewed by external Clear reads were clustered at the 97% sequence reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, similarity level. α and β diversity were used to describe which permits others to distribute, remix, adapt, build upon this the bacterial community structure and distribution in work non-commercially, and license their derivative works on patients. Combined with the clinical indicators, further different terms, provided the original work is properly cited and analysis was performed. WJCC|www.wjgnet.com 54 April 16, 2018|Volume 6|Issue 4| Lin L et al . Microbial polymorphisms of patients with metabolic syndrome RESULTS health problems currently. This syndrome occurs in Bacteroidetes, Firmicutes, Actinobacteria, Proteobacteria, adults but has also been reported in adolescents, Fusobacteria were the dominant phyla, and Prevotella, and its prevalence is estimated to be nearly 4.2%[1]. Bacteroides and Faecalibacterium was the top three Metabolic syndrome is a cluster of disorders and genera in faecal samples. α diversity analysis showed metabolic symptoms that finally leads to an increased that the species richness of metabolic syndrome samples risk of cardiovascular disease[2]. The increasing number (group D) was significantly higher than the control of people with metabolic syndrome is considered to be (group C) (P < 0.05), and the microbial diversity of associated with the global epidemic of diabetes and group C was greater than that of group D. According to obesity, especially abdominal obesity[3]. It has also the principal co-ordinates analysis, the samples of group been noted that the prevalence of metabolic syndrome C clustered more tightly, indicating that the distribution increases with the severity of obesity[4]. It is known that of bacteria in healthy patients was similar. The an overabundance of circulating fatty acids can lead to correlation analysis showed that alkaline phosphatase insulin resistance which, in turn, could lead to metabolic was negatively correlated with the abundance of syndrome. In fact, the WHO had defined that glucose Prevotella (P < 0.05). There was a negative correlation intolerance, insulin resistance, obesity, hypertension between low-density lipoprotein and the abundance and dyslipidaemia are essential component of metabolic of Ruminococcus (P < 0.05) and a positive correlation syndrome[5]. between the high-density lipoprotein and the abundance The gut microbiota of humans has received seri­ of Ruminococcus (P < 0.05). The total protein and the alanine aminotransferase was positively correlated with ous attention in recent years, as it is an important the abundance of Peptostreptococcus (P < 0.05). component of human microbial communities. The gut microbiota establishes and maintains normal intestinal CONCLUSION health and can improve or exacerbate a series of The changes microbial communities can be used as an diseases ranging from stomach cancer to autoimmune [6] [7] indicator of metabolic syndrome, and Prevotella may disorders . Sokol et al reported that a high level of be a target microorganism in patients with metabolic Faecalibacterium prausnitzii in a healthy person could syndrome. protect gut mucosa. Conversely, Staphylococcus aureus, a type of opportunistic human pathogen, is able to cause [8] Key words: Metabolic syndrome; Fecal samples; Bacterial various diseases, such as pseudomembranous colitis . community structure; Prevotella Karlsson et al[9] noted that gut microbiota composition could instruct the metabolic status of patients with © The Author(s) 2018. Published by Baishideng Publishing type 2 diabetes. Metagenomic studies have been Group Inc. All rights reserved. widely conducted on human microbiomes and have identified various gut microbiota that are specifically Core tip: We amplified the V3-V4 regions of the 16S related to the metabolic syndrome; for example, rDNA from faecal samples to analysis the bacterial Prevotella copri contributes to insulin resistance, while community structure and distribution of intestinal Akkermansia municiphila is involved in increasing insulin microflora in patients with metabolic syndrome sensitivity[10,11]. combined with clinical indicators. The results showed Based on the Illumina Miseq sequencing platform, that the species of metabolic syndrome patients was our study analysed the bacterial community structure significantly higher than that of controls, and the of intestinal microflora in patients with metabolic microbial diversity of controls was greater than that of syndrome. Furthermore, we analyzed α and β metabolic syndrome patients. The correlation analysis diversity, the differences and distributions of microbial showed that alkaline phosphatase was negatively communities and the particular bacterial species correlated with the abundance of Prevotella , indicating related to metabolic diseases by comparing healthy that Prevotella may be a target microorganism in controls with patients with metabolic syndrome. By patients with metabolic syndrome. combining microbial community analyses with the clinical indicators, we aimed to determine a relationship between selected bacteria and metabolic diseases. Lin L, Wen ZB, Lin DJ, Dong JT, Jin J, Meng F. Correlations between microbial communities in stool and clinical indicators in patients with metabolic syndrome. World J Clin Cases MATERIALS AND METHODS 2018; 6(4): 54-63 Available from: URL: http://www.wjgnet. com/2307-8960/full/v6/i4/54.htm DOI: http://dx.doi. Patients and samples org/10.12998/wjcc.v6.i4.54 Twenty patients with metabolic syndrome were recruited from the hospital outpatient and inpatient department according to the international Diabetes Federation (IDF) criteria, and the patient’s faecal samples were collected and numbered from D1 to INTRODUCTION D20. The detailed clinical data were showed in Table 1. Metabolic syndrome is one of the most pressing global At the same time, 16 (C1­C16) faecal samples were WJCC|www.wjgnet.com 55 April 16, 2018|Volume 6|Issue 4| Lin L et al . Microbial polymorphisms of patients with metabolic syndrome The reaction mixture for first step was as follows: 1 μL Table 1 Detailed clinical data of two groups (mean±SD) of upstream primer (5 μmol/L), 1 μL of downstream Group C Goup D primer (5 μmol/L), 10 ng of DNA template, 10 μL of Gender (male:female) 18:2 12:4 HiFi buffer (2 ×), and 7 μL of sterile water. The thermal Age 46.70 ± 14.47 47.25 ± 16.34 cycling was as follows: pre­denaturation at 95 ℃ for 3 Weight (kg) 83.63 ± 12.26 68.82 ± 10.32 min, denaturation at 95 ℃ for 30 s, annealing at 60 ℃ BMI 28.66 ± 4.12 26.45 ± 3.11 for 30 s, extension at 72 ℃ for 30 s, and extension Abdominal circumference (cm) 102.85 ± 10.94 89.64 ± 8.34 Blood pressure (mmhg) 139.60 ± 127.44 ± at 72 ℃ for 5 min. After PCR amplification, the PCR 21.41/81.90 ± 7.75 16.74/74.63 ± 6.46 products were purified by magnetic beads purification. Total bilirubin (μmol/L) 17.67 ± 8.67 15.26 ± 7.34 At the second step, primers N701­N712 and S501­S508 Indirect bilirubin (μmol/L) 13.26 ± 6.89 9.46 ± 4.72 were used (Table 2).
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