实用老年医学 ›› 2026, Vol. 40 ›› Issue (3): 283-287.doi: 10.3969/j.issn.1003-9198.2026.03.012

• 临床研究 • 上一篇    下一篇

老年慢性肾脏病患者肠道菌群变化及其与血清LRG1、SOCS-3、TXNIP的关系

李建军, 闫俊慧, 孙迎春, 刘育硕, 杨再波, 卢凡   

  1. 066000 河北省秦皇岛市,北京大学第三医院秦皇岛医院神经内科(李建军,闫俊慧,孙迎春,刘育硕,杨再波);
    050000 河北省石家庄市,河北医科大学第四医院神经科(卢凡)
  • 收稿日期:2025-08-22 发布日期:2026-03-26
  • 通讯作者: 卢凡,Email:15831925100@163.com
  • 基金资助:
    秦皇岛市重点研发计划科技支撑项目(202101A035);河北省医学科学研究重点课题计划项目(20221236)

Changes of intestinal flora in elderly patients with chronic kidney disease and their relationship with serum LRG1, SOCS-3, TXNIP

LI Jianjun, YAN Junhui, SUN Yingchun, LIU Yushuo, YANG Zaibo, LU Fan   

  1. Department of Neurology, Qinhuangdao Hospital of Peking University Third Hospital, Qinhuangdao 066000, China(LI Jianjun, YAN Junhui, SUN Yingchun, LIU Yushuo, YANG Zaibo);
    Department of Neurology, the Fourth Hospital of Hebei Medical University, Shijiazhuang 050000, China( LU Fan)
  • Received:2025-08-22 Published:2026-03-26
  • Contact: LU Fan, Email: 15831925100@163.com

摘要: 目的 分析老年慢性肾脏病(CKD)患者肠道拟杆菌、双歧杆菌、乳酸杆菌、阿克曼菌、肠球菌的水平变化及其与血清富亮氨酸α-2糖蛋白1(LRG1)、细胞因子信号转导抑制蛋白3(SOCS-3)、硫氧还蛋白相互作用蛋白(TXNIP)的相关性。 方法 选择北京大学第三医院秦皇岛医院2022年1月至2024年6月收治的老年CKD患者200例(CKD组),另选取同期健康体检志愿者85例作为对照组。筛选培养基检测拟杆菌、双歧杆菌、乳酸杆菌、阿克曼菌、肠球菌水平;采用ELISA试剂盒检测血清LRG1、SOCS-3、TXNIP水平。采用Pearson相关分析探讨老年慢性CKD患者肠道菌群水平与血清LRG1、SOCS-3、TXNIP的关系;采用多因素logistic回归分析老年患者CKD发生的影响因素。 结果 与对照组相比,CKD组患者尿蛋白、胱抑素C、血肌酐、尿素氮、LRG1、TXNIP水平升高,血红蛋白、估算肾小球滤过率(eGFR)、SOCS-3水平降低(P<0.01)。老年CKD患者血清LRG1、TXNIP水平与拟杆菌、双歧杆菌、乳酸杆菌、阿克曼菌水平呈负相关,与肠球菌水平呈正相关(均P<0.01);SOCS-3水平与拟杆菌、双歧杆菌、乳酸杆菌、阿克曼菌水平呈正相关,与肠球菌水平呈负相关(均P<0.01)。多因素logistic回归显示,胱抑素C、eGFR、拟杆菌、双歧杆菌、乳酸杆菌、阿克曼菌、肠球菌、LRG1、SOCS-3、TXNIP是老年患者CKD发生的影响因素(P<0.05)。 结论 肠道拟杆菌、双歧杆菌、乳酸杆菌、阿克曼菌、肠球菌水平以及血清LRG1、SOCS-3、TXNIP水平在老年CKD患者体内异常表达,这些血清学指标与肠道菌群之间存在相关性,且都是影响CKD发生的影响因素。

关键词: 慢性肾脏病, 肠道菌群, 富亮氨酸α-2糖蛋白1, 细胞因子信号转导抑制蛋白3, 硫氧还蛋白相互作用蛋白

Abstract: Objective To analyze the changes of the levels of Bacteroides, Bifidobacterium, Lactobacillus, Akkermansia and Enterococcus in the intestinal flora of elderly patients with chronic kidney disease (CKD), and their correlations with the serum levels of rich leucine alpha-2 glycoprotein 1 (LRG1), suppressor of cytokine signaling 3 (SOCS-3), and thioredoxin-interacting protein (TXNIP). Methods A total of 200 elderly patients admitted to Qinhuangdao Hospital of Peking University Third Hospital from January 2022 to June 2024 were enrolled as the CKD group. Meantime, 85 volunteers who underwent health check-up were selected as the control group. The screening medium was used to detect the levels of Bacteroides, Bifidobacterium, Lactobacillus, Akkermansia, and Enterococcus. Enzyme-Linked Immuno Sorbent Assay kits were used to detect the serum levels of LRG1, SOCS-3, and TXNIP. Pearson correlation analysis was used to analyze the relationships between the intestinal flora and serum LRG1, SOCS-3 and TXNIP. The multiple logistic regression model was used to analyze the influencing factors for CKD in the elderly. Results Compared with the control group, the CKD group had higher levels of urinary protein, cystatin C, blood creatinine, blood urea nitrogen, LRG1, and TXNIP, and lower levels of hemoglobin, estimated glomerular filtration rate (eGFR) and SOCS-3 (P<0.01). In elderly CKD patients, the serum levels of LRG1 and TXNIP were negatively correlated with the levels of Bacteroides, Bifidobacterium, Lactobacillus, and Akkermannella, and positively correlated with the level of Enterococcus (all P<0.01); SOCS-3 level was positively correlated with the levels of Bacteroides, Bifidobacterium, Lactobacillus, and Akkermannella, and negatively correlated with the level of Enterococcus (all P<0.01). Multivariate logistic regression analysis revealed that cystatin C, eGFR, Bacteroides, Bifidobacterium, Lactobacillus, Akkermannella, Enterococcus, LRG1, SOCS-3, and TXNIP were significant risk factors for CKD occurrence in older adults (P<0.05). Conclusions The levels of Bacteroides, Bifidobacterium, Lactobacillus, Akkermannella, Enterococcus, as well as LRRG1, SOCS-3, and TXNIP are abnormally expressed in elderly patients with CKD. These serum indicators show correlations with gut microbiota and are all influencing factors of the occurrence of CKD.

Key words: chronic kidney disease, intestinal flora, leucine rich alpha-2 glycoprotein 1, suppressor of cytokine signaling 3, thioredoxin-interacting protein

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