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已发表论文
炎症促进胰岛素抵抗：基于全血细胞计数所得炎症指标的分析
Authors Zhang X, Wei Y, Wang Y, Wang G , Liu J
Received 18 June 2025
Accepted for publication 7 November 2025
Published 18 November 2025 Volume 2025:18 Pages 16065—16077
DOI https://doi.org/10.2147/JIR.S547916
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Quan Zhang
Xinzhong Zhang,1,* Ying Wei,1,* Ying Wang,2 Guang Wang,1 Jia Liu1
1Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, People’s Republic of China; 2Health Management Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Guang Wang, Department of Endocrinology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, 100020, People’s Republic of China, Email wangguangcy@ccmu.edu.cn Jia Liu, Department of Endocrinology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, 100020, People’s Republic of China, Email liujiacy@ccmu.edu.cn
Purpose: Systemic inflammation indices, including the aggregate index of systemic inflammation (AISI), monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-platelet ratio (NPR), systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) may contribute to the development of metabolic disorders. This study aimed to examine their associations with adipose tissue insulin resistance (Adipo-IR) and the homeostasis model assessment of insulin resistance (HOMA-IR).
Patients and Methods: This cross-sectional study included 11416 participants recruited at Beijing Chaoyang Hospital. Multiple linear and logistic regression models were used to assess associations between six inflammatory indices and both Adipo-IR and HOMA-IR. Subgroup analyses were performed based on age, sex and BMI to evaluate potential effect modification.
Results: All six inflammation indices were significantly associated with Adipo-IR, with higher levels conferring increased risk of high Adipo-IR after adjustment for confounding factors. Similar trends were observed for the association of AISI, NLR, NPR, SII, SIRI and HOMA-IR, whereas MLR showed no significant association. Subgroup analyses indicated that NLR and SII were more strongly associated with high Adipo-IR in women, and that SII was more strongly associated with both high Adipo-IR and HOMA-IR in participants aged 18– 44 years.
Conclusion: Elevated systemic inflammation indices were positively associated with both Adipo-IR and HOMA-IR. These findings suggest that routine blood count-derived indices may serve as cost-effective indicators of early metabolic dysfunction.
Keywords: adipose tissue, inflammatory, insulin resistance, CBC inflammatory marker
1Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, People’s Republic of China; 2Health Management Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Guang Wang, Department of Endocrinology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, 100020, People’s Republic of China, Email wangguangcy@ccmu.edu.cn Jia Liu, Department of Endocrinology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, 100020, People’s Republic of China, Email liujiacy@ccmu.edu.cn
Purpose: Systemic inflammation indices, including the aggregate index of systemic inflammation (AISI), monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-platelet ratio (NPR), systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) may contribute to the development of metabolic disorders. This study aimed to examine their associations with adipose tissue insulin resistance (Adipo-IR) and the homeostasis model assessment of insulin resistance (HOMA-IR).
Patients and Methods: This cross-sectional study included 11416 participants recruited at Beijing Chaoyang Hospital. Multiple linear and logistic regression models were used to assess associations between six inflammatory indices and both Adipo-IR and HOMA-IR. Subgroup analyses were performed based on age, sex and BMI to evaluate potential effect modification.
Results: All six inflammation indices were significantly associated with Adipo-IR, with higher levels conferring increased risk of high Adipo-IR after adjustment for confounding factors. Similar trends were observed for the association of AISI, NLR, NPR, SII, SIRI and HOMA-IR, whereas MLR showed no significant association. Subgroup analyses indicated that NLR and SII were more strongly associated with high Adipo-IR in women, and that SII was more strongly associated with both high Adipo-IR and HOMA-IR in participants aged 18– 44 years.
Conclusion: Elevated systemic inflammation indices were positively associated with both Adipo-IR and HOMA-IR. These findings suggest that routine blood count-derived indices may serve as cost-effective indicators of early metabolic dysfunction.
Keywords: adipose tissue, inflammatory, insulin resistance, CBC inflammatory marker