辽宁中医药大学,辽宁省沈阳市皇姑区崇山东路79号,110847
shiyan@lnutcm.edu.cn;(024)31207185
收稿:2021-06-30,
修回:2021-09-29,
纸质出版:2022-01-02
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韩雪莹,单国顺,杨宇峰等.益糖康对2型糖尿病模型大鼠糖脂代谢和肠道菌群的影响[J].中医杂志,2022,63(01):64-71.
HAN Xueying,SHAN Guoshun,YANG Yufeng,et al.Effects of Yitangkang (益糖康) on Regulating Glucose-lipid Metabolism and Intestinal Microflora in Type 2 Diabetes Model Rats[J].Journal of Traditional Chinese Medicine,2022,63(01):64-71.
韩雪莹,单国顺,杨宇峰等.益糖康对2型糖尿病模型大鼠糖脂代谢和肠道菌群的影响[J].中医杂志,2022,63(01):64-71. DOI: 10.13288/j.11-2166/r.2022.01.012.
HAN Xueying,SHAN Guoshun,YANG Yufeng,et al.Effects of Yitangkang (益糖康) on Regulating Glucose-lipid Metabolism and Intestinal Microflora in Type 2 Diabetes Model Rats[J].Journal of Traditional Chinese Medicine,2022,63(01):64-71. DOI: 10.13288/j.11-2166/r.2022.01.012.
目的
2
探讨益糖康治疗2型糖尿病的可能作用机制。
方法
2
采用高脂饲料喂养结合一次性腹腔注射链脲佐菌素45 mg/kg制备 2 型糖尿病大鼠模型。将造模成功的32只SD大鼠随机分为模型组、益糖康组、二甲双胍组、益生菌组,每组8只,另设普通饲料喂养的SD大鼠8只为空白组。益糖康组给予益糖康生药56 g/(kg·d)灌胃,二甲双胍组给予盐酸二甲双胍片150 mg/(kg·d)灌胃,益生菌组给予益生菌冲剂150 mg/(kg·d)灌胃,空白组、模型组给予0.1 ml/10 g生理盐水灌胃,各组均每日1次。灌胃4周后,HE染色观察各组大鼠肠组织病理形态,测定血糖、胰岛素(INS)、糖化血红蛋白(HbAlc)、总胆固醇(TC)、甘油三酯(TG)、低密度脂蛋白胆固醇(LDL-C)、高密度脂蛋白胆固醇(HDL-C)水平;采用16S rRNA技术测定各组大鼠肠内容物的肠道菌群结构,进行α多样性指数分析、物种组成分析、LEfSe多级物种差异判别分析、COG功能注释,并对差异肠道菌群与血糖、血脂指标的相关性进行分析。
结果
2
病理结果显示,模型组、益生菌组均可见大量的肠绒毛顶端上皮细胞脱落;二甲双胍组偶见炎性细胞灶性浸润;益糖康组脱落的肠绒毛顶端上皮细胞较模型组明显减少。与空白组比较,模型组大鼠血糖、INS、HbAlc、TC、TG、LDL-C水平及coverage指数升高,HDL-C水平、shannon指数、chao指数降低,肠道菌群中放线菌门和变形菌门丰度升高,拟杆菌门丰度降低(
P
<0.05或
P
<0.01)。与模型组比较,二甲双胍组和益糖康组血糖、INS、HbAlc、TG、LDL-C水平降低,HDL-C水平、shannon指数升高,益生菌组血糖、coverage指数降低;二甲双胍组变形菌门丰度降低、疣微菌门丰度升高,益糖康组拟杆菌门、疣微菌门升高而变形菌门降低,益生菌组拟杆菌门、疣微菌门升高而放线菌门、其他菌门降低(
P
<0.05或
P
<0.01)。与二甲双胍组比较,益糖康组各指标差异均无统计学意义(
P
>0.05)。与益糖康组比较,益生菌组血糖、INS、HbAlc、TG、LDL-C水平均升高,HDL-C水平、shannon指数降低,拟杆菌门、变形菌门丰度升高而放线菌门、其他菌门丰度降低(
P
<0.05或
P
<0.01)。差异判别分析显示,空白组有53个差异菌群(属),模型组有8个差异菌群(属),二甲双胍组有13个差异菌群(属),益糖康组有11个差异菌群(属),益生菌组有5个差异菌群(属)。COG功能分类研究表明,差异菌群显著影响碳水化合物转运和代谢,氨基酸转运和代谢,转录,复制、重组和修复,翻译、核糖体结构和生物发生等通路。相关性分析显示,变形菌门与INS和TC水平呈显著正相关(
P
<0.05或
P
<0.01)。
结论
2
益糖康可调节2型糖尿病大鼠糖脂代谢,效果与二甲双胍相当而优于益生菌,其机制可能与改善肠道菌群的组成和结构有关。
Objective
2
To explore the possible mechanism of
Yitangkang
(益糖康) in the treatment of type 2 diabetes mellitus (T2DM).
Methods
2
The model of T2DM was established by high-fat diet and one-time intraperitoneal injection of streptozotocin (STZ, 45 mg/kg). The successfully-modeled 32 SD rats were randomly divided into model group,
Yitangkang
group, metformin group and probiotics group, with eight rats in each group, while 8 SD rats with ordinary diet were also set as blank group. The
Yitangkang
group was given 56 g/(kg·d) of crude
Yitangkang
by gavage; the metformin group was given 150 mg/(kg·d) of metformin hydrochloride tablets by gavage; the probiotics group was administered with 150 mg/(kg·d) of probiotics granules by gavage, while the blank group and model group were given 0.1 ml/10 g normal saline by gavage, once daily in all groups. After 4 weeks, the pathological morphology of the intestinal tissues were observed through HE staining, and the levels of blood glucose, insulin (INS), glycosylated hemoglobin (HbAlc), total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) were measured; 16S rRNA technology was used to determine the intestinal flora structure of the intestinal content, and α diversity index analysis, species composition analysis, the linear discriminant analysis effect size (LEfSe) of species differences, and the COG function annotation were performed; the correlations between the differential intestinal flora and blood sugar and blood lipids were analyzed.
Results
2
Pathological results showed that a large number of epithelial cells were shed from the apical intestinal villi in the model group and the probiotics group; inflammatory cell focal infiltration was occasionally seen in the metformin group; the shed epithelial cells of the apical intestinal villi of the
Yitangkang
group were significantly reduced compared to those of the model group. Compared to those of the blank group, the levels of blood glucose, INS, HbAlc, TC, TG and LDL-C and the coverage index of the model group significantly increased, and the HDL-C level, the shannon index and chao index were all significantly reduced; the abundance of Actinomycota and Proteobacteria significantly increased, while the abundance of Bacteroides significantly decreased (
P
<0.05 or
P
<0.01). Compared to those of the model group, the levels of blood glucose, INS, HbAlc, TG and LDL-C in the metformin group and
Yitangkang
group were significantly reduced, and the HDL-C level and the shannon index significantly increased; the blood sugar and coverage index of the probiotics group decreased; the Proteobacteria abundance of the metformin group was significantly reduced, and the Verrucomicrobia abundance significantly increased; the Bacteroides and Verrucomicrobia of the
Yitangkang
group significantly increased, and the Proteobacteria significantly decreased; the Bacteroides and Verrucomicrobia of the probiotics group significantly increased, while the Actinomycota and other bacteria were significantly reduced (
P
<0.05 or
P
<0.01). There were no significant differences between the metformin group and
Yitangkang
group in all indicators (
P
>0.05). Compared to those of
Yitangkang
group, the levels of blood glucose, INS, HbAlc, TG and LDL-C of the probiotics group significantly increased, while the HDL-C level and the shannon index significantly decreased; the abundance of Bacteroides and Proteobacteria significantly increased, while the abundance of Actinomycota and other bacteria were significantly reduced (
P
<0.05 or
P
<0.01). There were 53 differential flora (genus) in the blank group, 8 differential flora (genus) in model group, 13 differential flora (genus) in metformin group, 11 differential flora (genus) in
Yitangkang
group and 5 differential flora (genus) in probiotics group. COG functional classification showed that differential flora significantly affected carbohydrate transport and metabolism, amino acid transport and metabolism, transcription, replication, recombination and repair, ribosomal structure and biogenesis pathways. Proteobacteria was significantly positively correlated with INS and TC levels (
P
<0.05 or
P
<0.01).
Conclusion
2
Yitangkang
could regulate glucose and lipid metabolism of T2DM rats, whose effect is equal to metformin and better than probiotics. The mechanism may be related to its function of improving the composition and structure of intestinal flora.
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