nav emailalert searchbtn searchbox tablepage yinyongbenwen piczone journalimg journalInfo searchdiv qikanlogo popupnotification paper paperNew
2025, 05, v.54 707-714
2018年中国十五省(自治区、直辖市)成年居民炎症水平与肠道菌群及血脂的关联
基金项目(Foundation): 国家重点研发计划(No.2021YFE0114200)
邮箱(Email): zhangbing@chinacdc.cn;
DOI: 10.19813/j.cnki.weishengyanjiu.2025.05.001
摘要:

目的 分析中国十五省(自治区、直辖市)成年居民不同炎症水平下的肠道菌群特征及差异菌属,并分析其与血脂水平的关联。方法 数据选取参与了2018年“中国健康与营养调查”,采集了生物样品并完成全部调查的成年居民共4158人,对血清样品进行生化检测及粪便样品16S扩增子测序,依据超敏C反应蛋白分将人群为低炎症组和高炎症组,通过多样性分析组间菌群物种均匀度和丰富度以及两组人群菌群整体分布特征差异,并采用线性判别分析组间差异菌群,最后将组间的差异菌群与人群的生理生化指标进行关联性分析。结果 高炎症组与低炎症组相比菌群多样性较低,组间整体菌群差异有统计学意义(R2=0.25%,P=0.01),有6种菌属在低炎症组样本中富集,有4种菌属在高炎症组中富集。其中乳酸杆菌属和链球菌属与体质指数正相关,罗姆布茨菌与胆固醇,低密度脂蛋白胆固醇和高密度脂蛋白胆固醇均呈正相关;克氏菌UCG-014,瘤胃球菌属和粪杆菌属与甘油三酯正相关。结论 炎症水平不同的人群肠道菌群整体结构及优势菌存在差异,炎症反应会通过这些优势菌属进而对血脂水平产生一定的影响。

Abstract:

OBJECTIVE To analyze the characteristics and differences of gut microbiota in adult residents of 15 provinces of China under different inflammation levels, and to analyze their correlation with blood lipid levels.METHODS A total of 4158 adult residents who participated in the 2018 China Health and Nutrition Survey and completed all the surveys were selected. Biochemical tests were performed on serum samples, and 16S amplicon sequencing was carried out on fecal samples. According to the ultra-sensitive C-reactive protein, the population was divided into a low inflammation group and a high inflammation group. The uniformity and richness of bacterial species and the overall distribution characteristics of bacterial communities between the two groups were analyzed through diversity analysis, and the differences in bacterial communities between the two groups were analyzed using linear discriminant analysis. Finally, the differences in bacterial communities between the groups were analyzed in association with the physiological and biochemical indicators of the population.RESULTS Compared with the low inflammation group, the bacterial diversity in the high inflammation group was lower, and there was a significant difference in the overall bacterial composition between the two groups(R2=0.25%, P=0.01). Six genera were enriched in the samples of the low inflammation group, and four genera were enriched in the high inflammation group. Among them, Lactobacillus and Streptococcus were positively correlated with BMI, and Romboutsia was positively correlated with TC, LDL-C and HDL-C. Clostridium UCG-014, Ruminococcus and Faecalibacterium were positively correlated with TG.CONCLUSIONThe study found that there are differences in the overall structure and dominant bacteria of the gut microbiome in people with different inflammation levels, and the inflammatory response may have a certain impact on blood lipid levels through these dominant bacterial genera.

参考文献

[1] SPROSTON N R,ASHWORTH J J.Role of C-reactive protein at sites of inflammation and infection[J].Front Immunol,2018,9:754.

[2] DE VOS W M,TILG H,VAN HUL M,et al.Gut microbiome and health:mechanistic insights[J].Gut,2022,71(5):1020-1032.

[3] DOMINGUEZ-BELLO M G,GODOY-VITORINO F,KNIGHT R,et al.Role of the microbiome in human development[J].Gut,2019,68(6):1108-1114.

[4] HILL J H,ROUND J L.SnapShot:microbiota effects on host physiology[J].Cell,2021,184(10):2796.

[5] FAN Y,PEDERSEN O.Gut microbiota in human metabolic health and disease[J].Nat Rev Microbiol,2021,19(1):55-71.

[6] NAGASHIMA K,ZHAO A,ATABAKHSH K,et al.Mapping the T cell repertoire to a complex gut bacterial community[J].Nature,2023,621(7977):162-170.

[7] GABRIEL C L,FERGUSON J F.Gut microbiota and microbial metabolism in early risk of cardiometabolic disease[J].Circ Res,2023,132(12):1674-1691.

[8] SCHOELER M,CAESAR R.Dietary lipids,gut microbiota and lipid metabolism[J].Rev Endocr Metab Disord,2019,20(4):461-472.

[9] ZHANG Z,CHENG L,NING D.Gut microbiota and sepsis:bidirectional Mendelian study and mediation analysis[J].Front Immunol,2023,14:1234924.

[10] LIU P,LIU Z,WANG J,et al.Immunoregulatory role of the gut microbiota in inflammatory depression[J].Nat Commun,2024,15(1):3003.

[11] ZHANG B,ZHAI F Y,DU S F,et al.The China Health and Nutrition Survey,1989-2011[J].Obes Rev,2014,15(S1):2-7.

[12] CAPORASO J G,KUCZYNSKI J,STOMBAUGH J,et al.QIIME allows analysis of high-throughput community sequencing data[J].Nat Methods,2010,7(5):335-336.

[13] DESANTIS T Z,HUGENHOLTZ P,LARSEN N,et al.Greengenes,a chimera-checked 16S rRNA gene database and workbench compatible with ARB[J].Appl Environ Microbiol,2006,72(7):5069-5072.

[14] OKSANEN J,BLANCHET F G,KINDT R,et al.Vegan:community ecology package,version2.0-10[M].2013.

[15] LIU C,CUI Y,LI X,et al.Microeco:an R package for data mining in microbial community ecology[J].FEMS Microbiol Ecol,2021,97(2):fiaa255.

[16] BENJAMINI Y,HOCHBERG Y.Controlling the false discovery rate:a practical and powerful approach to multiple testing[J].J Royal Stat Soc,1995,57(1):289-300.

[17] IMAOKA A,SHIMA T,KATO K,et al.Anti-inflammatory activity of probiotic Bifidobacterium:enhancement of IL-10 production in peripheral blood mononuclear cells from ulcerative colitis patients and inhibition of IL-8 secretion in HT-29 cells[J].World J Gastroenterol,2008,14(16):2511-2516.

[18] OKADA Y,TSUZUKI Y,HOKARI R,et al.Anti-inflammatory effects of the genus Bifidobacterium on macrophages by modification of phospho-I kappaB and SOCS gene expression[J].Int J Exp Pathol,2009,90(2):131-140.

[19] FUKUDA S,TOH H,HASE K,et al.Bifidobacteria can protect from enteropathogenic infection through production of acetate[J].Nature,2011,469(7331):543-547.

[20] 解傲,袁杰利.双歧杆菌降胆固醇的作用机制[J].中国微生态学杂志,2014,26(4):493-495.

[21] CANI P D,DE VOS W M.Next-generation beneficial microbes:the case of Akkermansia muciniphila[J].Front Microbiol,2017,8:1765.

[22] 邱丹逸,罗飞宏.肠道菌群在儿童肥胖发病机制和治疗中的研究进展[J].国际儿科学杂志,2024(1):17-22.

[23] YUAN X,WANG R,HAN B,et al.Functional and metabolic alterations of gut microbiota in children with new-onset type 1 diabetes[J].Nat Commun,2022,13(1):6356.

[24] METWALY A,DUNKEL A,WALDSCHMITT N,et al.Integrated microbiota and metabolite profiles link Crohn’s disease to sulfur metabolism[J].Nat Commun,2020,11(1):4322.

[25] ZEUTHEN L H,CHRISTENSEN H R,FR?KIAER H.Lactic acid bacteria inducing a weak interleukin-12 and tumor necrosis factor alpha response in human dendritic cells inhibit strongly stimulating lactic acid bacteria but act synergistically with gram-negative bacteria[J].Clin Vaccine Immunol,2006,13(3):365-375.

[26] LARSEN N,VOGENSEN F K,VAN DEN BERG F W,et al.Gut microbiota in human adults with type 2 diabetes differs from non-diabetic adults[J].PLoS One,2010,5(2):e9085.

[27] GOU W,LING C,HE Y,et al.Interpretable machine learning framework reveals robust gut microbiome features associated with type 2 diabetes[J].Diabetes Care,2021,44(2):358-366.

[28] ZHANG Y,WANG X,LIN J,et al.A microbial metabolite inhibits the HIF-2α-ceramide pathway to mediate the beneficial effects of time-restricted feeding on MASH[J].Cell Metab,2024,36(8):1823-1838.

[29] 蔡志阳,金黑鹰,张春霞,等.瘤胃球菌与结直肠癌的关系及其影响胃肠道的机制探讨[J].肿瘤防治研究,2024,51(9):789-793.

[30] MARTíN R,RIOS-COVIAN D,HUILLET E,et al.Faecalibacterium:a bacterial genus with promising human health applications[J].FEMS Microbiol Rev,2023,47(4):fuad039.

基本信息:

DOI:10.19813/j.cnki.weishengyanjiu.2025.05.001

中图分类号:R195

引用信息:

[1]关方旭,黄绯绯,张晓帆等.2018年中国十五省(自治区、直辖市)成年居民炎症水平与肠道菌群及血脂的关联[J].卫生研究,2025,54(05):707-714.DOI:10.19813/j.cnki.weishengyanjiu.2025.05.001.

基金信息:

国家重点研发计划(No.2021YFE0114200)

引用

GB/T 7714-2015 格式引文
MLA格式引文
APA格式引文