吉林大学学报(医学版) ›› 2025, Vol. 51 ›› Issue (5): 1293-1302.doi: 10.13481/j.1671-587X.20250516

• 临床研究 • 上一篇    

老年肌少症肥胖伴糖尿病患者血清中促炎因子与肌肉质量的关联性分析

秦迪,黄丽红(),郑庆霜,孙静静,徐为民   

  1. 吉林大学中日联谊医院老年病 全科医学科,吉林 长春 130033
  • 收稿日期:2025-01-02 接受日期:2025-03-04 出版日期:2025-09-28 发布日期:2025-11-05
  • 通讯作者: 黄丽红 E-mail:lhhuang@jlu.edu.cn
  • 作者简介:秦 迪(1981-),女,吉林省长春市人,主治医师,医学博士,主要从事老年综合征方面的研究。
  • 基金资助:
    吉林省教育厅科学技术研究规划项目(JJKH20221086KJ);国家老年疾病临床医学研究中心多中心RCT临床研究项目(NCRCG-PLAGH-2023008)

Analysis on correlation between serum pro-inflammatory cytokines and muscle mass in elderly patients with sarcopenic obesity and diabetes

Di QIN,Lihong HUAGN(),Qingshuang ZHENG,Jingjing SUN,Weimin XU   

  1. Department of Geriatrics and General Medicine,China-Japan Union Hospital,Jilin University,Changchun 130033,China
  • Received:2025-01-02 Accepted:2025-03-04 Online:2025-09-28 Published:2025-11-05
  • Contact: Lihong HUAGN E-mail:lhhuang@jlu.edu.cn

摘要:

目的 探讨老年肌少症肥胖伴糖尿病患者血清中3种促炎因子与肌肉质量(MM)的关系,为制订老年肌少症肥胖伴糖尿病患者的临床治疗方案提供理论依据。 方法 选择2021年1月—2023年5月于本院就诊的老年糖尿病患者,包括41例肥胖伴糖尿病患者(OD组)和46例肌少症肥胖伴糖尿病患者(SOD组),并纳入同期于本院体检的80名健康受试者(对照组)和62名单纯性肥胖症受试者(SO组)。比较4组受试者临床资料,并分析促炎因子与MM和脂肪量(FM)的关联性。将所有受试者按肌少症患病情况分组为肌少症组和正常组,采用Logistic回归模型分析肌少症的独立影响因素,并绘制受试者工作特征(ROC)曲线,判断上述因素对肌少症的预测价值。 结果 与对照组比较,SOD、OD和SO组受试者体质量指数(BMI)、FM及体脂率(BFP)均明显升高(P<0.05);与对照组、OD组和SO组比较,SOD组受试者四肢骨骼肌质量(ASM)、四肢骨骼肌质量指数(ASMI)及握力(GS)明显降低(P<0.05),血清中白细胞介素6(IL-6)、C-反应蛋白(CRP)及肿瘤坏死因子α(TNF-α)水平明显升高(P<0.05)。所有受试者血清中IL-6、CRP和TNF-α与ASMI呈负相关关系(r=-0.589,r=-0.621,r=-0.620;P<0.05),与BFP呈正相关关系(r=0.252,r=0.221,r=0.147;P<0.05)。与正常组比较,肌少症组受试者ASM、ASMI和GS明显降低(P<0.05),血清中IL-6、CRP和TNF-α水平明显升高(P<0.05)。单因素Logistic回归分析,IL-6、CRP和TNF-α均是肌少症的影响因素(P<0.05)。多因素Logistic回归分析,IL-6和TNF-α水平升高是肌少症的独立危险因素(OR>1,P<0.05)。ROC曲线分析,IL-6、CRP和TNF-α的曲线下面积(AUC)值均>0.700,说明上述指标对于肌少症具有较好的预测价值。 结论 促炎因子IL-6、CRP和TNF-α水平升高与老年肌少症肥胖伴糖尿病患者MM下降有关联,且IL-6和TNF-α是肌少症的独立危险因素。

关键词: 老年人群, 肌少症, 肥胖, 糖尿病, 肌肉质量, 白细胞介素6, C-反应蛋白, 肿瘤坏死因子α

Abstract:

Objective To discuss the relationship between three proinflammatory factors and muscle mass (MM) in the elderly patients with sarcopenic obesity and diabetes, and to provide theoretical basis for the development of clinical treatment protocols in the elderly patients with sarcopenic obesity and diabetes. Methods The elderly patients with diabetes who visited our hospital from January 2021 to May 2023 were selected, including 41 patients with obesity and diabetes (OD group) and 46 patients with sarcopenic obesity and diabetes (SOD group); 80 healthy subjects(control group) and 62 subjects with simple obesity (SO group) who underwent physical examination in our hospital during the same period were included. The clinical data of the subjects in four groups were compared, and the correlations between proinflammatory factors and MM and fat mass (FM) were analyzed. All the subjects were divided into sarcopenia group and normal group based on the presence of sarcopenia. Logistic regression model was used to analyze the independent influencing factors of sarcopenia; receiver operating characteristic (ROC) curve was drawn to determine the predictive value of the above factors for sarcopenia. Results Compared with control group, the body mass index (BMI), FM and body fat percentage (BFP) of the subjects in SOD, OD and SO groups were significantly increased (P<0.05); compared with control group, OD group and SO group, the appendicular skeletal muscle mass (ASM), appendicular skeletal muscle mass index (ASMI) and grip strength (GS) of the subjects in SOD group were significantly decreased (P<0.05), and the levels of serum interleukin-6(IL-6), C-reactive protein(CRP) and tumor necrosis factor-α(TNF-α) were significantly increased (P<0.05). In all the subjects, the IL-6, CRP and TNF-α were negatively correlated with ASMI (r=-0.589,r=-0.621,r=-0.620; P<0.05), and positively correlated with BFP (r=0.252,r=0.221,r=0.147; P<0.05). Compared with normal group, the ASM, ASMI and GS of the subjects in sarcopenia group were significantly decreased (P<0.05), and the levels of serum proinflammatory factors IL-6, CRP and TNF-α were significantly increased (P<0.05). The univariate Logistic regression analysis results showed that IL-6, CRP and TNF-α were the influencing factors of sarcopenia (P<0.05). The multivariate Logistic regression analysis results showed that the increased levels of IL-6 and TNF-α were the independent risk factors for sarcopenia (OR>1, P<0.05). The ROC curve results showed that the area under the curve (AUC) values of IL-6, CRP and TNF-α were all >0.700, indicating that the above indicators had good predictive value for sarcopenia. Conclusion The increased levels of proinflammatory factors IL-6, CRP and TNF-α are associated with the decrease of MM in the elderly patients with sarcopenic obesity and diabetes, and IL-6 and TNF-α are the independent risk factors for the sarcopenia.

Key words: Elderly population, Sarcopenia, Obesity, Diabetes, Muscle mass, Interleukin-6, C-reactive protein, Tumor necrosis factor-α

中图分类号: 

  • R592