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Volume 37 Issue 12
Dec.  2021
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Article Navigation >  CHINESE JOURNAL OF BURNS AND WOUNDS  > 2021  >  37(12): 1122-1129
Guo ZW,Song MM,Zhang J,et al.Prospective study on the analysis of intestinal microflora changes and prediction on metabolic function in severe burn patients at early stage by 16S ribosomal RNA high-throughput sequencing[J].Chin J Burns,2021,37(12):1122-1129.DOI: 10.3760/cma.j.cn501120-20200916-00414.
Citation: Guo ZW,Song MM,Zhang J,et al.Prospective study on the analysis of intestinal microflora changes and prediction on metabolic function in severe burn patients at early stage by 16S ribosomal RNA high-throughput sequencing[J].Chin J Burns,2021,37(12):1122-1129.DOI: 10.3760/cma.j.cn501120-20200916-00414.
shu

Prospective study on the analysis of intestinal microflora changes and prediction on metabolic function in severe burn patients at early stage by 16S ribosomal RNA high-throughput sequencing

doi: 10.3760/cma.j.cn501120-20200916-00414
  • 1.

    Department of Burns and Plastic Surgery, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou 215002, China

  • 2.

    Department of Burns and Plastic Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China

Funds:

General Program of National Natural Science Foundation of China 81772135, 82072217

Key Project of Social Development of Jiangsu Province of China BE2017695

Science and Technology Planning Project of Suzhou of Jiangsu Province of China sys2018086

More Information
  • Corresponding author: Sun Bingwei, Email: sunbinwe@hotmail.com
  • Received Date: 2020-09-16
    Abstract
  •   Objective  To analyze the changes of intestinal microflora and to predict the metabolic function of intestinal microflora in severe burn patients at early stage by 16S ribosomal RNA (rRNA) high-throughput sequencing.  Methods  In this prospective observational study, 48 patients with severe burns who met the inclusion criteria were admitted to Department of Burns and Plastic Surgery of Affiliated Hospital of Jiangsu University from January 2018 to December 2019 were included in burn group, and 40 healthy volunteers who met the inclusion criteria and underwent physical examination at the Physical Examination Center of Affiliated Hospital of Jiangsu University in the same period were included in healthy group. Fecal samples were collected from patients in burn group in about 1 week after admission and from volunteers in healthy group on the day of physical examination. The 16S rRNA V4 gene sequencing was performed in the feces of patients in burn group and volunteers in healthy group to analyze the relative abundance of various bacteria. The operational classification unit (OTU) was divided by Mothur software to analyze the dominant bacteria. The OTU number, Chao1 index, Ace index, and Shannon index of fecal microflora were analyzed by QIIME1.9.0 software. The principal component analysis for relative abundance of fecal microflora was performed by Canoco Software 5.0. The metabolic function of fecal microflora was predicted by Kyoto Encyclopedia of Genes and Genomes. Data were statistically analyzed with independent sample t test, and Mann-Whitney U test, and Bonferroni correction.  Results  The relative abundance of Bacteroides, Enterococcus, Acinetobacter, Macrococcus, and Staphylococcus in feces of patients in burn group was significantly higher than that of volunteers in healthy group (Z=-5.20, -2.37, -5.17, -4.41, -6.03, P<0.05 or P<0.01), and the relative abundance of unclassified-Helicobacillae, Prevotella, Cecobacteria, unclassified-Rumencocci, Pseudobutyrivibrio, Brautia, and unclassified-Digiestive Streptococcaceae (Z=-8.03, -3.21, -7.63, -5.88, -8.05, -8.05, -6.77, P<0.01) and other 12 species of bacteria in the feces of volunteers in healthy group was significantly higher than that of patients in burn group. The diversity of fecal microflora of volunteers in healthy group was better than that of patients in burn group, the main dominant microflora of volunteers in healthy group were Bacteroides, unclassified-Helicobacillae, Prevotella, unclassified- Enterobacteriaceae, Brautia, Parabacteroides, Escherichia coli, etc., and the main dominant microflora of patients in burn group were Bacteroides, Prevotella, unclassified-Enterobacteriaceae, and Parabacteroides. The OTU number, Ace index, Chao1 index, and Shannon index of fecal microflora of patients in burn group were 149±47, 199±45, 190±45, 2.0±0.9, which were significantly lower than 266±57, 323±51, 318±51, 3.8±0.5 of volunteers in healthy group (t=10.325, 11.972, 12.224, 11.662, P<0.01). The relative abundance of fecal microflora of patients in burn group and volunteers in healthy group was clearly divided into two groups by principal component 1, and the contribution rate of principal component 1 was 32.50%, P<0.01. The fecal microflora of volunteers in healthy group were more concentrated on principal component 2, the fecal microflora of patients in burn group were dispersed in principal component 2, and the contribution rate of principal component 2 was 13.44%, P>0.05. The metabolic levels of alanine-aspartate-glutamate, arginine- proline, cysteine-methionine, glycine-serine-threonine, phenylalanine, tryptophan, and tyrosine in amino acid, tricarboxylic acid cycle, glucose and mannose, galactolipin, glycolysis/gluconiogenesis, starch and sucrose in carbohydrate of fecal microflora of patients in burn group were significantly lower than those of volunteers in healthy group (Z=-4.75, -4.54, -4.75, -4.62, -3.71, -3.28, -4.19, -3.82, -4.72, -4.35, -4.75, -4.71, P<0.01). The levels of lipoic acid metabolism and coenzyme Q synthesis of fecal microflora of patients in burn group were significantly higher than those of volunteers in healthy group (Z=-6.07, -4.51, P<0.01). The metabolic level of arachidonic acid of fecal microflora of patients in burn group was similar to that of volunteers in healthy group (P>0.05).  Conclusions  There are significant differences in intestinal microflora between severe burn patients at the early stage and healthy people, and the species and diversity of microflora are decreased, and the nutrient metabolism level is decreased in burn patients by 16S rRNA high-throughput sequencing.

     

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    • References(31)
  • [1]
    SandersME,MerensteinDJ,ReidG,et al.Probiotics and prebiotics in intestinal health and disease: from biology to the clinic[J].Nat Rev Gastroenterol Hepatol,2019,16(10):605-616.DOI: 10.1038/s41575-019-0173-3.
    [2]
    WangC,LiQ,RenJ.Microbiota-immune interaction in the pathogenesis of gut-derived infection[J].Front Immunol,2019,10:1873.DOI: 10.3389/fimmu.2019.01873.
    [3]
    WallaceTC,GuarnerF,MadsenK,et al.Human gut microbiota and its relationship to health and disease[J].Nutr Rev,2011,69(7):392-403.DOI: 10.1111/j.1753-4887.2011.00402.x.
    [4]
    BeckmannN,PughAM,CaldwellCC.Burn injury alters the intestinal microbiome's taxonomic composition and functional gene expression[J].PLoS One,2018,13(10):e0205307.DOI: 10.1371/journal.pone.0205307.
    [5]
    张军毅,朱冰川,徐超,等. 基于分子标记的宏基因组16S rRNA基因高变区选择策略[J].应用生态学报,2015,26(11):3545- 3553.
    [6]
    吴悦妮,冯凯,厉舒祯,等.16S/18S/ITS扩增子高通量测序引物的生物信息学评估和改进[J].微生物学通报,2020,47(9):2897-2912.DOI: 10.13344/j.microbiol.china.200054.
    [7]
    ParkS,ChoiHS,LeeB,et al.hc-OTU: a fast and accurate method for clustering operational taxonomic units based on homopolymer compaction[J].IEEE/ACM Trans Comput Biol Bioinform,2018,15(2):441-451.DOI: 10.1109/TCBB.2016.2535326.
    [8]
    黄树武,闵凡贵,王静,等.常见SPF级小鼠和大鼠肠道菌群多样性研究[J].中国实验动物学报,2019,27(2):229-235.DOI: 10.3969/j.issn.1005-4847.2019.02.016.
    [9]
    罗亚,唐贇,张丁,等.不同年龄大熊猫肠道菌群及其酶活特征分析[J].畜牧兽医学报,2020,51(4):763-771.DOI: 10.11843/j.issn.0366-6964.2020.04.012.
    [10]
    SegataN,IzardJ,WaldronL,et al.Metagenomic biomarker discovery and explanation[J].Genome Biol,2011,12(6):R60.DOI: 10.1186/gb-2011-12-6-r60.
    [11]
    RametteA.Multivariate analyses in microbial ecology[J].FEMS Microbiol Ecol,2007,62(2):142-160.DOI: 10.1111/j.1574-6941.2007.00375.x.
    [12]
    HuJ,BaoY,ZhuY,et al.The preliminary study on the association between PAHs and air pollutants and microbiota diversity[J].Arch Environ Contam Toxicol,2020,79(3):321-332.DOI: 10.1007/s00244-020-00757-4.
    [13]
    袁林,李万利,杜晨红,等.黄连解毒散和黄霉素对不同日龄肉鸡回肠菌群结构的影响[J].河南农业科学,2020,49(2):142-149.DOI: 10.15933/j.cnki.1004-3268.2020.02.019.
    [14]
    陈宾,况芳,李孝建,等.四例严重烧伤患者并发早期急性肾损伤的原因及治疗方法分析[J].中华烧伤杂志,2019,35(2):110-115.DOI: 10.3760/cma.j.issn.1009-2587.2019.02.006.
    [15]
    刘峰,黄正根,彭毅志,等.严重烧伤早期行连续性血液净化治疗的可行性及疗效随机对照临床试验[J].中华烧伤杂志,2016,32(3):133-139.DOI: 10.3760/cma.j.issn.1009-2587.2016.03.002.
    [16]
    李晓亮,肖宏涛,李延仓,等.柠檬酸对行连续性肾脏替代治疗的严重烧伤并发急性肾损伤患者的影响[J].中华烧伤杂志,2019,35(8):568-573.DOI: 10.3760/cma.j.issn.1009-2587.2019.08.003.
    [17]
    Sebastián DomingoJJ,SánchezSánchez C.From the intestinal flora to the microbiome[J].Rev Esp Enferm Dig,2018,110(1):51-56.DOI: 10.17235/reed.2017.4947/2017.
    [18]
    LynchSV,PedersenO.The human intestinal microbiome in health and disease[J].N Engl J Med,2016,375(24):2369-2379.DOI: 10.1056/NEJMra1600266.
    [19]
    KataokaK.The intestinal microbiota and its role in human health and disease[J].J Med Invest,2016,63(1/2):27-37.DOI: 10.2152/jmi.63.27.
    [20]
    HuangG,SunK,YinS,et al.Burn injury leads to increase in relative abundance of opportunistic pathogens in the rat gastrointestinal microbiome[J].Front Microbiol,2017,8:1237.DOI: 10.3389/fmicb.2017.01237.
    [21]
    ZhangDY,QiuW,JinP,et al.Role of autophagy and its molecular mechanisms in mice intestinal tract after severe burn[J].J Trauma Acute Care Surg,2017,83(4):716-724.DOI: 10.1097/TA.0000000000001624.
    [22]
    TapkingC,PoppD,HerndonDN,et al.Cardiac dysfunction in severely burned patients: current understanding of etiology, pathophysiology, and treatment[J].Shock,2020,53(6):669-678.DOI: 10.1097/SHK.0000000000001465.
    [23]
    SavetamalA.Infection in elderly burn patients: what do we know?[J].Surg Infect (Larchmt),2021,22(1):65-68.DOI: 10.1089/sur.2020.322.
    [24]
    SalyerCE,BomholtC,BeckmannN,et al.Novel therapeutics for the treatment of burn infection[J].Surg Infect (Larchmt),2021,22(1):113-120.DOI: 10.1089/sur.2020.104.
    [25]
    LiuJ,LiuY,LiuS,et al.Hypocoagulation induced by broad-spectrum antibiotics in extensive burn patients[J/OL].Burns Trauma,2019,7:13[2020-09-16].https://pubmed.ncbi.nlm.nih.gov/31058197/. DOI: 10.1186/s41038-019-0150-7.
    [26]
    王泽臣烧伤患者创面菌群分布变化及创面感染影响因素分析天津天津医科大学2015

    王泽臣. 烧伤患者创面菌群分布变化及创面感染影响因素分析[D]. 天津:天津医科大学, 2015.
    [27]
    张莎莎, 吴振聪, 杨转, 等. 利用Illumina Miseq测序技术研究鲍内脏多肽对小鼠肠道微生物的影响[J]. 安徽农业科学, 2019, 47(8):93-97. DOI: 10.3969/j.issn.0517-6611.2019.08.024.
    [28]
    OjuederieOB, BalogunMO, AkandeSR, et al. Intraspecific variability in agro-morphological traits of African yam bean Sphenostylis stenocarpa (Hochst ex. A. Rich) harms[J]. Journal of Crop Science & Biotechnology, 2015, 18(2):53-62. DOI: 10.1007/s12892-014-0109-y.
    [29]
    雍和礼, 刘宓, 宁磊. 重症胰腺炎患者感染病原菌耐药及相关因素分析[J]. 中国病原生物学杂志, 2015, 10(11):1035-1039. DOI: 10.13350/j.cjpb.151118.
    [30]
    王津, 刘爽, 邹妍,等. 膳食纤维和肠道微生物及相关疾病的研究进展[J]. 食品研究与开发, 2020, 41(11):201-207. DOI: 10.12161/j.issn.1005-6521.2020.11.033.
    [31]
    QuraishiMNN, YalchinM, BlackwellC, et al. STOP-colitis pilot trial protocol: a prospective, open-label, randomised pilot study to assess two possible routes of faecal microbiota transplant delivery in patients with ulcerative colitis[J]. BMJ Open,2019,9(11):e030659. DOI: 10.1136/bmjopen-2019-030659.
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