Advancing Gouty Arthritis Research: The Clinical Value of Complete Blood Cell Count Ratios and Immune-Inflammatory Interactions
Year: 2025
Type: review
Abstract: Luyuan Gao,* Chunping Liu,* Guancheng Ye,* Yingkai Gao, Hailong Wang Department of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hailong Wang, Department of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, No. 116, Cuiping West Street, Beijing, 101121, People’s Republic of China, Email [email protected]: Gouty arthritis (GA) is an inflammatory condition resulting from the accumulation of monosodium urate (MSU) crystals in joints and adjacent tissues, with its pathogenesis characterized by a complex immune-inflammatory response. The complete blood cell count ratios (CBCRs), which include the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammatory index (SII), and systemic inflammatory response index (SIRI), serve as composite indicators of inflammation. These ratios integrate hematopoietic cell subsets that reflect interactions between innate and adaptive immunity, thereby providing a more comprehensive assessment of the intricate immune-inflammatory network in GA. Additionally, they offer practical benefits due to their accessibility in routine clinical settings. This narrative review consolidates the current research on CBCRs in the context of GA, offering an overview of their clinical significance and potential molecular pathological mechanisms. The aim is to provide new insights and evidence-based references for both clinical practice and translational research.Keywords: gouty arthritis, biomarkers, neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, immune-inflammatory response
Authors: Gao,Luyuan, Liu,Chunping, Ye,Guancheng, Gao,Yingkai, Wang,Hailong
Language: English
Subfield: Nephrology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7112254657
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