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中华肾病研究电子杂志 ›› 2024, Vol. 13 ›› Issue (06) : 313 -320. doi: 10.3877/cma.j.issn.2095-3216.2024.06.003

论著

2 型糖尿病的血液透析患者肠道微生物组学高通量测序分析
杜军霞1,2, 赵小淋1, 王浩然1, 高志远1, 王曼茜1, 万楠熙1, 张冬1, 丁潇楠1,2, 任琴琴1, 段颖洁1, 汤力1, 朱晗玉1,()   
  1. 1.100853 北京,解放军总医院第一医学中心肾脏病医学部,肾脏疾病全国重点实验室,国家慢性肾病临床医学研究中心,肾脏疾病研究北京市重点实验室
    2.100853 北京,解放军医学院
  • 收稿日期:2024-07-22 出版日期:2024-12-28
  • 通信作者: 朱晗玉
  • 基金资助:
    国家自然科学基金(62271506)

High throughput sequencing analysis of intestinal microbiome in hemodialysis patients with type 2 diabetes

Junxia Du1,2, Xiaolin Zhao1, Haoran Wang1, Zhiyuan Gao1, Manqian Wang1, Nanxi Wan1, Dong Zhang1, Xiaonan Ding1,2, Qinqin Ren1, Yingjie Duan1, Li Tang1, Hanyu Zhu1,()   

  1. 1.Department of Nephrology, First Medical Center of Chinese PLA General Hospital, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease
    2.Medical School of Chinese PLA; Beijing 100853, China
  • Received:2024-07-22 Published:2024-12-28
  • Corresponding author: Hanyu Zhu
引用本文:

杜军霞, 赵小淋, 王浩然, 高志远, 王曼茜, 万楠熙, 张冬, 丁潇楠, 任琴琴, 段颖洁, 汤力, 朱晗玉. 2 型糖尿病的血液透析患者肠道微生物组学高通量测序分析[J/OL]. 中华肾病研究电子杂志, 2024, 13(06): 313-320.

Junxia Du, Xiaolin Zhao, Haoran Wang, Zhiyuan Gao, Manqian Wang, Nanxi Wan, Dong Zhang, Xiaonan Ding, Qinqin Ren, Yingjie Duan, Li Tang, Hanyu Zhu. High throughput sequencing analysis of intestinal microbiome in hemodialysis patients with type 2 diabetes[J/OL]. Chinese Journal of Kidney Disease Investigation(Electronic Edition), 2024, 13(06): 313-320.

目的

基于RNA 测序技术探究2 型糖尿病血液透析患者的肠道微生物组学特征及变化。

方法

本横断面研究招募2023 年5 月~12 月于解放军总医院就诊的血液透析患者,将2 型糖尿病患者划为2 型糖尿病组,同期匹配未合并2 型糖尿病的患者为对照组。 所有入组患者均收集一般信息及临床资料;对患者粪便样本,通过RNA 高通量测序技术分析其微生物组成,探究两组患者肠道菌群的α 多样性、β 多样性和物种方面差异。

结果

总计纳入52 例血液透析患者,2 型糖尿病组和对照组各26 例。 两组患者肠道微生物群的β 多样性差异具有统计学意义(P <0.05),而α 多样性差异无统计学意义(P >0.05)。 两组间具有显著差异的肠道微生物群共11 个(线性判别分析阈值4,P 均<0.05)。2 型糖尿病组显著富集变形菌门、伽玛变形菌纲、肠杆菌目、克里斯滕森氏菌科、肠杆菌科及其埃希氏菌属,而对照组则显著富集厚壁菌门、梭菌纲、真杆菌目、毛螺菌科及布劳特氏菌属。

结论

2 型糖尿病的血液透析患者,其肠道微生物组学在不同分类水平上可以呈现不同程度的变化。

Objective

To explore the characteristics and changes of intestinal microbiome in hemodialysis patients with type 2 diabetes mellitus based on RNA sequencing technology.

Methods

This cross-sectional study enrolled hemodialysis patients who visited the Chinese PLA General Hospital from May to December 2023. The hemodialysis patients with type 2 diabetes were divided into a type 2 diabetes group,while those matched at the same time without type 2 diabetes were divided as a control group. General information and clinical data were collected from all the enrolled patients. Fecal samples from the patients were analyzed for their microbial composition by means of high-throughput RNA sequencing techniques,exploring the differences in α diversity, β diversity, and species of intestinal microbiota between the two groups.

Results

A total of 52 hemodialysis patients were included,with 26 in the type 2 diabetes group and 26 in the control group. There was a statistically significant difference in the β diversity of intestinal microbiota between the two groups (P <0. 05), but not in the α diversity (P >0. 05). There were significant differences between the two groups in a total of 11 intestinal microbiota (linear discriminant analysis threshold 4, P <0.05). The type 2 diabetes group significantly enriched Proteobacteria, Gamma Proteobacteria, Enterobacteriaceae, Christenseniaceae, Enterobacteriaceae, and its Escherichia, while the control group significantly enriched Firmicutes, Clostridia, Eubacilli, Trichospiriceae, and its Brautzia.

表1 两组血液透析患者的临床资料
图1 两组的α 多样性比较 注:A:Chao1 多样性指数比较;B:香农多样性指数比较
图2 两组血液透析患者的β 多样性比较 注:A:非度量多维尺度分析(non-metric multidimensional scaling,NMDS); B:主坐标分析(principal co-ordinates analysis,PCoA),主坐标1 (x 轴)为38.74%,主坐标2(y 轴) 为21.23%;两图中的点代表样本,样本间距离越近,物种越相似
图3 两组血液透析患者门水平肠道微生物群丰度组成分析
图4 两组血液透析患者差异物种的比较 注:A:两组的物种进化分支图。 由内到外的圆圈依次代表门至属的分类级别,不同分类级别上的每一个小圆圈代表该水平下的一个分类,小圆圈的直径大小代表了相对丰度的大小,黄色节点代表无显著差异的物种,红色节点代表在2 型糖尿病组中显著富集的物种,绿色节点代表在对照组中显著富集的物种;B:线性判别分析(linear discriminant analysis,LDA)柱状图。 柱状图的长度代表差异物种的贡献度大小(即为LDA值),图中展示了LDA 值大于4 的条件下两组间丰度有显著差异的物种;p:门;c:纲;o:目;f:科;g:属
[1]
Nordio M, Limido A, Maggiore U, et al. Survival in patients treated by long-term dialysis compared with the general population [J]. Am J Kidney Dis,2012,59(6):819-828.
[2]
Murdeshwar HN, Anjum F. Hemodialysis[M]. Treasure Island(FL): StatPearls,2024.
[3]
Ley RE, Peterson DA, Gordon JI. Ecological and evolutionary forces shaping microbial diversity in the human intestine [J].Cell,2006,124(4):837-848.
[4]
Xu J, Gordon JI. Honor thy symbionts [J]. Proc Natl Acad Sci USA,2003,100(18):10452-10459.
[5]
Huang JK, Wu PH, Chen ZF, et al. Identification of gut microbiome signatures associated with indole pathway in tryptophan metabolism in patients undergoing hemodialysis [J].Biomolecules,2024,14(6):623.
[6]
Gurung M, Li Z, You H, et al. Role of gut microbiota in type 2 diabetes pathophysiology [ J]. EBioMedicine, 2020, 51:102590.
[7]
Zhao L, Zhang F, Ding X, et al. Gut bacteria selectively promoted by dietary fibers alleviate type 2 diabetes [ J].Science,2018,359(6380):1151-1156.
[8]
Estrada V, Gonzalez N. Gut microbiota in diabetes and HIV:inflammation is the link [J]. EBioMedicine,2018,38:17-18.
[9]
Flynn MC,Kraakman MJ,Tikellis C,et al. Transient intermittent hyperglycemiaacceleratesatherosclerosisbypromoting myelopoiesis [J]. Circ Res,2020,127(7):877-892.
[10]
Trandafir MF, Savu OI, Gheorghiu M. The complex immunological alterations in patients with type 2 diabetes mellitus on hemodialysis [J]. J Clin Med,2024,13(13):3687.
[11]
Wang Y, Gao L. Inflammation and cardiovascular disease associated with hemodialysis for end-stage renal disease [J].Front Pharmacol,2022,13:800950.
[12]
中国老年2 型糖尿病防治临床指南编写组, 中国老年医学学会老年内分泌代谢分会, 中国老年保健医学研究会老年内分泌与代谢分会, 等. 中国老年2 型糖尿病防治临床指南(2022 年版)[J]. 中华内科杂志,2022,61(1):12-50.
[13]
Gao Y, Zhang G, Jiang S, et al. Wekemo Bioincloud: a userfriendly platform for meta-omics data analyses [J]. Imeta,2024,3(1): e175.
[14]
Larsen N, Vogensen FK, Van Den Berg FW, et al. Gut microbiota in human adults with type 2 diabetes differs from nondiabetic adults [J]. PLoS One,2010,5(2): e9085.
[15]
Zhao L, Lou H, Peng Y, et al. Comprehensive relationships between gut microbiome and faecal metabolome in individuals with type 2 diabetes and its complications [J]. Endocrine,2019,66(3):526-537.
[16]
Du Y, Neng Q, Li Y, et al. Gastrointestinal autonomic neuropathy exacerbates gut microbiota dysbiosis in adult patients with type 2 diabetes mellitus [J]. Front Cell Infect Microbiol,2021,11:804733.
[17]
Allcock GH, Allegra M, Flower RJ, et al. Neutrophil accumulation induced by bacterial lipopolysaccharide: effects of dexamethasone and annexin 1 [J]. Clin Exp Immunol, 2001,123(1):62-67.
[18]
Amar J, Chabo C, Waget A, et al. Intestinal mucosal adherence and translocation of commensal bacteria at the early onset of type 2 diabetes: molecular mechanisms and probiotic treatment [J].EMBO Mol Med,2011,3(9):559-572.
[19]
Hays KE, Pfaffinger JM, Ryznar R. The interplay between gut microbiota, short-chain fatty acids, and implications for host health and disease[J]. Gut Microbes,2024,16(1):2393270.
[20]
Furusawa Y, Obata Y, Fukuda S, et al. Commensal microbederived butyrate induces the differentiation of colonic regulatory T cells [J]. Nature,2013,504(7480):446-450.
[21]
Du L, Li Q, Yi H, et al. Gut microbiota-derived metabolites as key actors in type 2 diabetes mellitus [ J ]. Biomed Pharmacother,2022,149:112839.
[22]
Ignatyeva O, Tolyneva D, Kovalyov A, et al. Christensenella minuta, a new candidate next-generation probiotic: current evidence and future trajectories[J]. Front Microbiol,2024,14:1241259.
[23]
Peters BA, Shapiro JA, Church TR, et al. A taxonomic signature of obesity in a large study of American adults [J]. Sci Rep,2018,8(1):9749.
[24]
Org E, Blum Y, Kasela S, et al. Relationships between gut microbiota, plasma metabolites, and metabolic syndrome traits in the METSIM cohort [J]. Genome Biol,2017,18(1):70.
[25]
Waters JL, Ley RE. The human gut bacteria Christensenellaceae are widespread, heritable, and associated with health [J]. BMC Biol,2019,17(1):83.
[26]
Alemán JO, Bokulich NA, Swann JR, et al. Fecal microbiota and bile acid interactions with systemic and adipose tissue metabolism in diet-induced weight loss of obese postmenopausal women [J]. J Transl Med,2018,16(1):244.
[27]
Xu R,Tan C,Zhu J,et al. Dysbiosis of the intestinal microbiota in neurocritically ill patients and the risk for death [J]. Crit Care,2019,23(1):195.
[28]
Shen T, Yue Y, He T, et al. The association between the gut microbiota and Parkinson′s disease, a meta-analysis [J]. Front Aging Neurosci,2021,13:636545.
[29]
Verhaar BJH, Hendriksen HMA, De Leeuw FA, et al. Gut microbiota composition is related to AD pathology [J]. Front Immunol,2021,12:794519.
[30]
Galluzzo P, Capri FC, Vecchioni L, et al. Comparison of the intestinal microbiome of Italian patients with multiple sclerosis and their household relatives [J]. Life (Basel),2021,11(7):620.
[31]
Prochazkova P, Roubalova R, Dvorak J, et al. The intestinal microbiota and metabolites in patients with anorexia nervosa [J].Gut Microbes,2021,13(1):1-25.
[32]
Palacios T, Vitetta L, Coulson S, et al. Targeting the intestinal microbiota to prevent type 2 diabetes and enhance the effect of metformin on glycaemia: a randomised controlled pilot study[J]. Nutrients,2020,12(7):2041.
[33]
Shen X, Ma C, Yang Y, et al. The role and mechanism of probiotics supplementation in blood glucose regulation: a review[J]. Foods,2024,13(17):2719.
[34]
Wang CH, Yen HR, Lu WL, et al. Adjuvant probiotics of Lactobacillus salivarius subsp. salicinius AP-32, L. johnsonii MH-68, and Bifidobacterium animalis subsp. Lactis CP-9 attenuate glycemic levels and inflammatory cytokines in patients with type 1 diabetes mellitus [ J ]. Front Endocrinol(Lausanne),2022,13:754401.
[35]
Eidi F, Poor-Reza Gholi F, Ostadrahimi A, et al. Effect of Lactobacillus Rhamnosus on serum uremic toxins (phenol and pcresol) in hemodialysis patients: a double blind randomized clinical trial [J]. Clin Nutr ESPEN,2018,28:158-164.
[36]
Natarajan R, Pechenyak B, Vyas U, et al. Randomized controlled trial of strain-specific probiotic formulation (Renadyl)in dialysis patients [J]. Biomed Res Int,2014,2014:568571.
[37]
Choi E, Yang J, Ji GE, et al. The effect of probiotic supplementation on systemic inflammation in dialysis patients[J]. Kidney Res Clin Pract,2022,41(1):89-101.
[38]
Soleimani A, Zarrati Mojarrad M, Bahmani F, et al. Probiotic supplementation in diabetic hemodialysis patients has beneficial metabolic effects [J]. Kidney Int,2017,91(2):435-442.
[39]
Wang S, Li D, Li G, et al. Functional properties, rheological characteristics, simulated digestion, and fermentation by human fecal microbiota of polysaccharide from morchella importuna [J].Foods,2024,13(13):2148.
[40]
魏慧, 段丽萍. 膳食对肠道菌群结构、代谢和功能影响的研究进展[J]. 中华消化杂志,2017,37(9):642-644.
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